Cristcot is a strategic pharmaceutical company focused in the space of gastroenterology to address large gaps in disease management that are overlooked by others and marked by a low competitive landscape. The first product is designed to halt acute flares in ulcerative colitis and has successfully completed Phase 3 clinical trials.

Industry: Pharmaceutical Manufacturing
Company Size: 11-50 employees

Cristcot

Savvy Admin PROD

**Job Summary **

We are seeking a strategic and hands-on data science and analytics leader to build and lead the data and analytics function for a growing biotech organization preparing to launch a hydrocortisone acetate therapy for ulcerative colitis.

**Primary Relationships **

- Within Cristcot, the Director, Data Science & Commercial Analytics will collaborate closely with Sales, Commercial Operations, Marketing, Market Access, Medical Affairs, and the Executive Team.

- Outside Cristcot, the Director, Data Science & Commercial Analytics will engage with external vendors.

**Primary Job Responsibilities **

The Director, Data Science & Commercial Analytics will be responsible for standing up the end-to-end data and technology environment, enabling commercial insights, and driving data-informed decision-making across the organization.

**The activities of the Director, Data Science & Commercial Analytics **will include, but are not limited to:

**Build the Data & Technology Ecosystem **

- Design, develop and implement the company’s data architecture from the ground up (data ingestion, storage, transformation, and access layers)

- Evaluate and select appropriate tools and platforms (e.g., data warehouses, ETL pipelines, BI tools, CRM integrations)

- Establish scalable, compliant, and secure data infrastructure aligned with biotech/pharma regulations (HIPAA, GDPR where applicable)

- Define data governance frameworks, including data quality, stewardship, and access controls

**Commercial Data Strategy & Enablement **

- Identify, acquire, and integrate critical data sources to support commercial operations, including:

- Patient claims (medical & pharmacy)

- Prescription (Rx) data

- Electronic health records (EHR)

- Provider-level data

- Specialty pharmacy and hub services data

- Payer and formulary data

- Translate commercial strategy into data requirements and analytics solutions

- Build datasets and data models tailored to key business questions (e.g., patient journey, targeting, segmentation)

**Analytics & Insights Generation **

- Develop and lead analytics to support:

- Launch planning and performance tracking

- Sales force effectiveness and targeting

- Patient identification and adherence patterns

- Market access and payer strategy

- Create dashboards, KPIs, and reporting frameworks for executive and commercial stakeholders

- Apply advanced analytics (predictive modeling, segmentation, forecasting) to inform decision-making

**Cross-Functional Partnership **

- Act as a strategic partner to Commercial leadership to align analytics with brand objectives

- Collaborate with IT, Medical Affairs, Market Access, and Finance to ensure integrated data use

- Translate complex data insights into actionable business recommendations

**Leadership & Execution **

- Manage external vendors (data providers, analytics partners, consultants)

- Operate both as a strategic leader and a hands-on contributor in a fast-paced environment

**Skills and Qualifications: **

** **

- Advanced degree preferred (Master’s or Ph.D.), but no less than Bachelor’s degree in data science, business, psychology, statistics, economics, mathematics, life sciences, computer science, or a related field that requires data analytics skill

- 8–12+ years of experience in data science, analytics, or commercial data roles within biotech/pharma

- Proven experience building data infrastructure and analytics capabilities from scratch

- Deep understanding of healthcare data ecosystems (claims, Rx, EHR, specialty pharmacy, etc.)

- Experience supporting commercial launches, preferably in specialty or GI therapeutics

- Strong proficiency in SQL, Python/R, and BI tools (e.g., Tableau, Power BI)

- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)

- Experience in ulcerative colitis, gastroenterology, or specialty therapeutics preferred

- Knowledge of patient journey analytics and rare/specialty disease commercialization preferred

- Experience working in pre-commercial or early-launch biotech environments preferred

- Strategic thinking with strong execution capabilities

- Ability to translate business needs into data solutions

- Strong communication skills with both technical and non-technical stakeholders

- Entrepreneurial mindset; comfortable with ambiguity and building from zero

- High level of ownership and accountability

- Priority consideration will be given to applicants who reside within the Central and Eastern time zones

- Ability to travel up to 10%

Director, Data Science & Commercial Analytics

Dart makes everyday products that give people the freedom to enjoy the food and drinks they love, wherever they are. From to-go containers and dinnerware to tamper-evident food packaging and even the red Solo cup, our products have been keeping people on the go and having fun for more than 50 years.

Our customers around the world count on us for thoughtful design that truly meets the needs of their customers. We make products with dependable quality and deliver them with exceptional service. 

Our commitment to environmental stewardship is best summarized by our Eco-Forward® Design Approach to sustainable food packaging. This approach guides how we source, design, manufacture, and transport products—as well as how we educate customers and consumers on proper disposal.

To learn more about our sustainability commitments, visit https://www.dartcontainer.com/sustainability/.

Social Media Guidelines: https://www.dartcontainer.com/social-media-community-guidelines/

Industry: Packaging and Containers Manufacturing
Company Size: 10,001+ employees

Dart Container

The Data Scientist (ability to hire at multiple levels based on experience) will collaborate with members of Analytics and business users to build predictive models using third party and enterprise data. This position will work cross-functionally spanning departments such as Business Units, Sales, Finance, Supply Chain, and IT.

**This role is open only to candidates authorized to work in the U.S. without sponsorship now or in the future.**

**What You'll Do - Results**

-  Collaborate with Analytics leadership to develop an understanding of the business’ data analytics needs

-  Break down problems into pieces that can be solved with data, analysis, assumptions, and judgment

-  Cleanse, integrate and evaluate large datasets

-  Research and apply innovative statistical and machine learning models for data analysis

-  Identify patterns and insights from the data

-  Communicate findings through reports, dashboard, etc. to stakeholders, including non-technical business users to leadership

-  Write structured and understandable code to enable smooth collaboration across the team and successful model deployment

-  Facilitate projects from concept through deployment

-  Collaborate with Data Engineering to deploy models into production

**What You'll Bring - Competencies, Experience & Skills**

-  Bachelor’s degree with an emphasis in mathematics, business, economics, statistics, computer science, data science, or related field of study

-  Experience in a relevant field dealing with large data sets, conducting complex business analyses and presenting findings/conclusions in a compelling manner

-  Technical skills including the suite of Microsoft Office products, cloud-based computing, and coding skills (such as SQL and Python)

-  Understanding of machine learning methods, applied statistical analysis (regression, time-series, inferential statistics), exploratory data analysis including clustering

-  Able to adapt to the use of different tools as appropriate

-  Strong collaboration and facilitation skills

-  Strong communication skills both written and verbal

-  Ability to work effectively in a cross functional environment

-  Results oriented individual with a bias for action

**Preferred Skills And Qualifications**

-  Experience with Power BI, SAP, Salesforce CRM, and/or pricing software such as PriceFX

-  Demonstrated business acumen and experience in manufacturing and/or food and beverage packaging industries

-  Experience with operational excellence, lean processes, continuous improvement

**Overview: ** Dart makes everyday products that give people the freedom to enjoy the food & drinks they love, wherever they are. From to-go containers and dinnerware to tamper-evident food packaging and even the red SOLO cup, Dart products have been keeping people on the go and having fun for 65 years. We’re a family-owned, family-focused company of 12,000 employees united by a shared set of values and dedicated to providing exceptional customer service. Headquartered in Mason, MI, with 30 locations in three countries, we’re proud of our ability to innovate, manufacture and lead the way with each new generation of quality products.

**Benefits: ** Dart Container full-time employees enjoy great benefits, including medical, dental, vision, life insurance, 401(k) with company matching contributions, paid vacation, paid holidays, short-term disability, tuition assistance, product discounts and more.

Dart Container is a drug-free workplace. Candidates are subject to a drug test (excluding THC*/marijuana/cannabis) and background check at the time of offer.

- THC testing ONLY when such testing is required by law.

Dart Container is an equal opportunity employer and will consider all candidates for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

https://www.dartcontainer.com/eeoaa/

If you have a disability and need an accommodation to access this website or for the application process, you should call Dart at (800) 545-3278 Ext 3370 or email us at ADArequests@dart.biz. Relay calls can be made by dialing 711 or the relay number for your state.

If you experience difficulty applying online, you may call (800) 545-3278 Ext 3390 or email us at applicationassistance@dart.biz for assistance.

Data Scientist - Supply Chain Analytics

LeMans Corporation is the world’s largest distributor of aftermarket products and accessories in the powersports industry. With its companies Parts Unlimited, Parts Canada, Parts Europe and Drag Specialties it sells to over 20,000 dealerships worldwide and continues to bring great products and services to motorcyclists and other powersports enthusiast across the globe.

Industry: Wholesale
Company Size: 1,001-5,000 employees

LeMans Corporation

We are seeking a **Senior Supply Chain Data & BI Analyst ** to serve as the primary analytics and performance visibility partner for our Supply Chain organization. This highly impactful role supports Procurement, Logistics, Trade Compliance, and Product Portfolio teams by transforming complex data into clear, actionable insights that enable smarter operational and executive decision‑making.

As a trusted analytics leader, you will design and maintain Power BI dashboards, own standardized KPI frameworks, and champion data accuracy, automation, and AI‑assisted analytics tools. This role is ideal for a data professional who thrives at the intersection of business operations, analytics, and continuous improvement.

**What you’ll do: **

- Build and maintain **Power BI dashboards ** and automated reports

- Own Supply Chain and Supplier Scorecards with standardized KPIs

- Analyze ERP and supply chain data to identify trends and improvement opportunities

- Partner with IT on data pipelines, system configuration, and reporting improvements

- Enforce data standards and lead validation and audit efforts

- Implement automation and AI‑assisted analytics to improve efficiency

**What you bring: **

- **4–6 years **of supply chain analytics experience preferred

- Deep understanding of supply chain processes and KPIs

- Advanced **Power BI ** skills (data modeling, DAX, visualization best practices)

- Advanced **Microsoft Excel **(Power Query, complex formulas, automation)

- ERP experience (**Microsoft D365 preferred **)

- Excellent analytical, communication, and organizational skills with a strong business‑first mindset

- Excellent verbal and written communication skills; ability to tailor insights to executive and operational audiences

- Exceptional attention to detail and data accuracy

- Strong organizational skills with the ability to manage multiple priorities

**Disclaimers **

Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

LeMans Corporation is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. LeMans will only employ those who are legally authorized to work in the United States for this opening. There are not any current or future visa sponsorships for this opening.

This company participates in E-Verify.

**Notice to California Employees and Prospective Employees **

https://downloads.lemansnet.com/docs/LeMans_CA_employee_privacy_policy.pdf

Senior Supply Chain Data & BI Analyst

We go beyond the traditional job board model by offering dedicated, hands-on Staffing and Placement Services. We understand that for our clients, hiring is a high-stakes investment. Our team acts as an extension of your HR department, providing tailored recruitment strategies to solve your most pressing talent gaps. Whether you are looking for executive leadership, specialised technical experts, or a full-scale team expansion, Jobs Ai provides the vetting, sourcing, and strategic advisory needed to ensure a perfect fit. We don't just fill seats; we build the foundations of your future growth.

Industry: Staffing and Recruiting
Company Size: 11-50 employees

Jobs Ai

- **Role:Director, ISC Analytics **

- **Location: ** Phoenix, Arizona, United States

- **Employment Type: ** Full-Time

**Role Overview **

We are seeking a highly strategic **Director, ISC Analytics ** to lead advanced analytics initiatives across the Integrated Supply Chain (ISC) function for one of our clients in the aerospace sector. In this role, you will drive operational efficiency, improve decision-making, and deliver business-transforming insights by guiding a team of analytics professionals.

You will oversee the development and implementation of analytics models, digital tools, and AI-driven solutions that enhance performance across Operations, Quality, Procurement, Planning, and other ISC functions. This role requires deep expertise in data strategy, analytics leadership, visualization, and stakeholder alignment.

**Key Responsibilities **

- Develop and implement a comprehensive data and analytics strategy for the Integrated Supply Chain.

- Lead data collection, governance, and quality frameworks to ensure accurate and reliable insights.

- Apply statistical and data analysis techniques to extract insights from supply chain datasets.

- Drive analytics solutions supporting Operations, Quality, Procurement, and Planning.

- Design and develop impactful analytics dashboards and visualizations using tools like Power BI or Tableau.

- Utilize advanced technologies, including artificial intelligence and machine learning, to enhance decision-making.

- Partner with cross-functional teams including Logistics, Production, Finance, and Procurement.

- Translate complex datasets into actionable recommendations for senior leadership.

- Coach and lead a high-performing analytics team.

**Required Qualifications & Experience **

- Minimum **8 years ** in progressive data analytics roles.

- Minimum **2 years ** working with analytics tools and programming languages (Python, R, SQL, etc.).

- Minimum **2 years ** experience using data visualization tools (Tableau, Power BI, etc.).

- Experience with data governance, data quality, and supply chain analytics.

- Strong leadership experience managing and developing high-performing teams.

**Preferred (We Value) **

- Bachelor’s degree in Data Science, Analytics, Engineering, or related field.

- Strong analytical, problem-solving, and storytelling abilities.

- Proven success in driving data-driven decisions and measurable business outcomes.

- Experience in aerospace or industrial supply chain analytics.

- Knowledge of advanced analytics (ML, predictive modeling, optimization).

**Compensation & Benefits **

- Competitive salary package aligned with experience.

- Comprehensive medical, dental, and vision coverage.

- Life insurance, disability benefits, FSA/HSA options.

- 401(k) or retirement plan with employer contributions.

- Paid time off, parental leave, and flexible working arrangements.

- Professional development and educational assistance.

- Access to wellness and employee assistance programs.

**Inclusion & Diversity **

We foster an inclusive environment where all qualified applicants are considered without regard to race, gender, orientation, age, disability, or background. We believe diversity enriches innovation and strengthens our workforce.

**Apply Now! **

Director Integrated Supply Chain Analytics

Theranica is a neuromodulation therapeutics company dedicated to creating effective, safe, affordable, and low-side-effect therapies for idiopathic pain conditions. Our initial focus is on migraine, one of the most common neurologic disorders affecting over 1 billion people, with a high prevalence and morbidity, especially among adolescents and females. 
 
The company’s award-winning flagship Nerivio® REN wearable is changing the game for migraine sufferers, especially the 100 million adolescents facing this complex and non-curable disease. Nerivio is the first and only REN wearable that harnesses the natural power of the brain to shut off migraine symptoms without the use of drugs. With early intervention being key, Nerivio offers a safe and side-effect-free alternative, empowering adolescents to take control of their health and providing a foundation for complete migraine care as they transition into adulthood.
 
Theranica is a neuromodulation therapeutics company dedicated to creating effective, safe, affordable, low-side-effect therapies for idiopathic pain conditions. The Nerivio REN wearable is FDA-cleared and CE-marked for the acute and/or preventive treatment of migraine with or without aura in people 12 years of age or older. It has been used in more than 650,000 migraine treatments in the US, including by adolescents and veterans living with migraine. Learn more by visiting our websites, theranica.com, and nerivio.com.

Industry: Medical Equipment Manufacturing
Company Size: 11-50 employees

Theranica

**Title: Commercial Analytics Manager **

**Department: ** Marketing

**Reports To: ** VP, Marketing

**Location: ** Remote, based in EST or CST

**Travel: ** Up to 10–20%, as needed

**Position Overview **

The Commercial Analytics Manager plays a critical role in scaling a fast-growing medical device organization by transforming data into actionable insights that inform commercial strategy and execution. This role partners closely with Sales, Marketing, Finance, and Market Access to drive revenue growth, improve sales effectiveness, and support data-driven decision-making across the commercial organization.

Operating in a dynamic, high-growth environment, this position requires a hands-on analytics leader who thrives in ambiguity, moves with urgency, and takes ownership of building scalable analytics capabilities. This is not a passive reporting role - it is a builder and problem-solver role for someone eager to shape how analytics supports the company’s next phase of US commercial growth.

**Key Responsibilities: **

**Commercial Strategy & Growth Analytics **

- Deliver analytics and insights that support revenue growth, market expansion, and evolving go-to-market strategies.

- Identify performance gaps and growth opportunities across territories, segments, products, and channels.

- Lead forecasting, scenario modeling, incentive compensation planning, and business case development in a fluid, matrixed environment.

**Sales & Marketing Enablement **

- Partner closely with Sales and Marketing leadership to improve sales productivity, targeting, pipeline health, and launch execution.

- Design, analyze, and refine incentive plans, quota methodologies, and KPIs that scale with a growing commercial organization.

- Measure and optimize ROI for campaigns, promotions, and product launches, translating insights into timely action.

- Lead qualitative and quantitative market research efforts, using primary and secondary sources.

**Data, Tools & Scalable Infrastructure **

- Build and evolve dashboards, scorecards, and self-service reporting tools to enable faster, more informed decision-making

- Integrate and analyze data from Salesforce CRM, ERP, IQVIA, Google Cloud (Looker) dashboards, third-party market data, and internal sources, often working with imperfect datasets

- Balance speed with rigor - delivering timely insights while continuously improving data quality, consistency, and governance.

**Cross-Functional Partnership & Leadership **

- Serve as a strategic thought partner to Sales, Marketing, Finance, Market Access, and senior leadership.

- Communicate insights clearly and confidently through executive-ready storytelling and recommendations.

- Support leadership meetings and executive readouts with concise, decision-oriented analytics.

**Continuous Improvement & Advanced Analytics **

- Manage sales attainment reports and reconcile end of quarter data

- Proactively identify opportunities to automate, simplify, and scale analytics processes.

- Apply advanced analytics techniques (e.g., predictive modeling, trend analysis, scenario planning) where they deliver clear business value.

- Help define and evolve “best-in-class” commercial analytics capabilities as the organization grows.

**Required Qualifications: **

- Bachelor’s degree in Business, Analytics, Economics, Statistics, Finance, or a related field.

- 5+ years of experience in commercial analytics, sales operations, or business intelligence, incentive compensation planning, preferably within medical devices and/or pharmaceuticals.

- Strong proficiency in analytics and visualization tools such as Power BI, Tableau, SQL, FlexView 2020, Excel.

- Strong PowerPoint skills.

- Experience working with CRM systems (Salesforce preferred).

- Demonstrated ability to deliver actionable insights in fast-paced, evolving environments.

**Qualifications: **

- MBA or Master’s degree in Analytics/related discipline or relevant industry experience.

- Experience supporting high-growth or scaling commercial organizations

- Exposure to pricing, contracting, market access, payer analytics.

- Familiarity with healthcare data sources (e.g., claims data, procedure volumes, third-party market data).

- Experience supporting product launches or new market entry initiatives.

Commercial Analytics Manager

FICO (NYSE: FICO) powers decisions that help people and businesses around the world prosper. Founded in 1956, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 200 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, insurance, telecommunications, health care, retail and many other industries. Using FICO solutions, businesses in more than 100 countries do everything from protecting 4 billion payment cards from fraud, to improving financial inclusion, to increasing supply chain resiliency. The FICO® Score, used by 90% of top US lenders, is the standard measure of consumer credit risk in the US and has been made available in over 40 other countries, improving risk management, credit access and transparency. Learn more at www.fico.com.

Industry: Software Development
Company Size: 1,001-5,000 employees

FICO

**FICO (NYSE: FICO) ** is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

“~~At FICO, we're looking for a strategic procurement leader who wants more than a seat at the table — they want to shape what happens there.~~

~~Reporting to the Director of HSI Category Management, you'll partner with key business units to drive smarter sourcing strategies, ensure supply continuity, and deliver real savings that fuel FICO's mission — all in a high-visibility role where your work directly influences the technology backbone of a global analytics leader ~~,” Chief Procurement Officer

**What You’ll Contribute**

- Leads global procurement strategies for hardware, software and infrastructure across Engineering, Product and other technology teams.

- Negotiates hardware, software, and infrastructure deals through knowledge of relevant suppliers and deal structures for Engineering, Product and other technology teams.

- Responsible for supply continuity and quality, lead time improvements and savings/ROI targets.

- Actively identifies gaps, proposes and implements changes needed to meet strategic objectives.

- Drives and delivers savings/ROI opportunities aligned with organization commitments.

- Develops vendor management strategies to consolidate global vendors and achieve strategic objectives.

- Develops, communicates and executes global procurement strategies aligned with best practices and strategic objectives.

- Partners with business leaders to execute CapEx and OpEx purchases that meet cost savings and other strategic objectives.

- Brainstorms and provides feedback on category planning and best practices in supply and procurement organizations.

- Supports key initiatives, such as Source to Pay rollout, Business Intelligence tool optimizations, process efficiencies and spend controls to ensure adherence to best practices and procurement governance.

- Ability to inspire and motivate others; engenders support and trust from all levels of the organization.

- Demonstrates adaptability for working in diverse, fast-paced environments with significant grey areas and multiple, sometimes competing priorities and objectives.

- Makes decisions that support strategic objectives; takes personal accountability for decisions made and gains the support of others.

- Collaborates with key cross-functional stakeholders to ensure engagement, buy-in and ownership of sourcing strategies.

**What We’re Seeking**

- Bachelor's degree in Supply Chain, Business, Finance, or related field, or relevant experience; advanced degree a plus.

- Demonstrable experience in strategic sourcing, procurement, or category management across hardware, software and technology infrastructure.

- Proven ability to negotiate and structure complex vendor agreements with reputable suppliers.

- Experience developing vendor consolidation strategies that reduce risk, improve operations and deliver measurable cost savings.

- Strong financial acumen, including business case development, TCO analysis, and capital and operating expenditure planning.

- Familiarity with Source-to-Pay systems, Business Intelligence tools, and procurement process improvement.

- Confident and poised; excellent verbal and written communication skills, with demonstrated ability to influence and present to stakeholders up to C-Suite.

- Ability to build cross-functional relationships across Engineering, Product and other technology teams, as well as Finance, Legal, Operations and Security teams.

- Self-starter with can-do attitude, sense of humor, strong organizational skills, sound judgment, and ability to manage competing priorities.

- Willingness to travel occasionally; comfortable working in dynamic, globally diverse environments.

**Our Offer to You**

- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.

- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.

- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.

- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

- The targeted base pay range for this role is: $94,500 to $148,500 with this range reflecting differences in candidate knowledge, skills and experience.

**Why Make a Move to FICO?**

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

-  Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

-  Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

-  Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

Senior Strategic Sourcing Manager-Global Procurement (Hardware, Software, Infrastructure)

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
 
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.

Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms

© 2024 JPMorgan Chase & Co. All rights reserved. JPMorganChase is an Equal Opportunity Employer, including Disability/Veterans.

Industry: Financial Services
Company Size: 10,001+ employees

JPMorganChase

**Job Description**

Join the Firmwide Technology Financial Planning & Analysis (FP&A) organization to lead analytics which shape a $20B technology investment portfolio.

As a Global Tech Analytics Lead within the Technology FP&A team, you will architect data‑driven insights, elevate continuous planning, and deliver CFO/CIO‑ready narratives that influence high‑profile funding and prioritization decisions across the Firm. You will build repeatable intelligence, modernize our financial framework, and serve as a consultative partner to senior leaders on core and topical challenges.

**Job Responsibilities**

- Connect spend patterns to product health and unit economics (cost‑to‑serve, contribution margin) to inform portfolio trade‑offs and decommission/scale decisions. Build price/volume/mix and run‑change walks to explain variance drivers and elevate decision velocity for senior stakeholders.

- Analyze product expense trends and link them to adoption, reliability, and customer outcomes; curate portfolio characteristics and heatmaps that prioritize strategic bets while safeguarding critical run services.

- Play a key role in developing, analyzing and enhancing continuous planning methodologies and assumptions with a goal of reducing forecast error and compressing re‑forecast cycle times.

- Apply corporate finance rigor (WACC, NPV/IRR, payback) to investment evaluations and re‑sequencing; design base/downside/strategic scenarios to optimize capital allocation across the tech portfolio.

- Drive cloud cost optimization and embed FinOps insights into product P&Ls and planning baselines.

- Industrialize repeatable processes using Python/SQL/Alteryx and other tools for intelligence generation, driving efficiency, reducing errors, and maximizing speed to actionable insights. Build executive dashboards (e.g., Tableau) with scenario toggles and drill‑downs to speed insights from data to decision.

- Deliver concise, well‑structured readouts for CFO/CIO forums and capital committees, synthesizing analytics into clear calls to action. Operate as an internal consultant—align diverse stakeholders, manage dependencies, and drive outcomes in a fast‑paced environment.

**Required Qualifications, Capabilities, And Skills**

- 8+ years in data analytics within financial services, investment banking, consulting or strategy, with demonstrated impact on technology finance decisions

- Strong written and verbal communication, including debate of complex topics with senior stakeholders and creation of high‑impact presentations.

- Relevant depth in at least two key content areas: product economics and unit cost models, cost of capital and scenario modeling for tech investments, cloud FinOps and Technology Business Management (TBM) -aligned cost transparency, driver‑based and continuous planning, corporate finance for technology portfolios or CFO/CIO‑ready storytelling and executive readouts

- Quantitatively focused undergraduate and/or graduate degree or other demonstrated quantitative and analytical ability

- Demonstrated ability to quickly internalize complex concepts, connect data to business context, and solve problems in cross‑functional teams

- You will be self-motivated, thrive in a fast-paced environment, and have passion and intellectual curiosity to find and capture business value

- Experience with analytics and data-wrangling tools such a Python, SAS, SQL, and Alteryx

**Preferred Qualifications, Capabilities, And Skills**

- Highly self‑motivated; thrives amid shifting priorities and ambiguous problem spaces.

- Intermediate Excel with structured, traceable analysis and prototyping.

- Familiarity with Hyperion Essbase, Dodeca, Anaplan, PitchPro, Tableau, and relational data structures.

- Measurably improves forecast accuracy and reduces cycle times through driver‑based, continuous planning.

- Elevates capital allocation quality via scenario‑based corporate finance analysis (e.g., NPV/IRR, WACC).

- Reduces cloud run‑rate and unallocated spend through FinOps and TBM transparency.

- Produces executive‑ready materials that accelerate decision making in capital committees and leadership forums.

**Additional Information**

- To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

- This role requires the ability to physically work in our offices 5 days a week

- Final Job Grade level and corporate title will be determined at time of offer and may differ from this posting

- This role does not provide relocation assistance so all candidates must be local to the work locations listed in the job posting or willing to relocate on their own immediately upon hiring

**ABOUT US**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

**About The Team**

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.

Global Tech Finance Planning & Analysis Lead - Vice President

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Industry: Business Consulting and Services
Company Size: 10,001+ employees

Deloitte

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.

We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.

Recruiting for this role ends on 5/31/2026.

**Work You'll Do**

As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.

Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.

-  Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements

-  Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production

-  Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications

-  Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests

-  Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.

-  Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development

**The Team**

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

**Qualifications:**

-  Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)

-  6+ years of experience working in data science, data engineering, software engineering, or MLOps

-  6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models

-  6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)

-  6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms

-  4+ years of experience managing teams and delivering complex and critical projects

-  Live within commuting distance to one of Deloitte's consulting offices

-  Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

-  Limited immigration sponsorship may be available

**Preferred Qualifications:**

-  Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio

-  Experience with developing and testing GenAI solutions for healthcare or life sciences

-  Experience in a client-facing role

-  Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

#MonitorDeloitte, #DeloitteJobs, #StrategyConsulting, #DeloitteStrategy, #Strategy26, #SFL26

Data Science Manager, Life Sciences & Healthcare - SFL Scientific

Tatari is building the infrastructure to modernize TV advertising for Brands, Agencies, and Publishers. Clients include Made In, Daily Harvest, Wpromote, and Fubo. Recognized by Business Insider as one of the Hottest Ad Tech Companies of 2021, Tatari is headquartered in San Francisco with further offices in Los Angeles and New York. For additional information, please visit tatari.tv

Industry: Advertising Services
Company Size: 51-200 employees

Tatari

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including ~~Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V ~~., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual ~~MarTech Breakthrough Awards ~~, as well as honors from ~~Digiday ~~ (Best Connected TV Platform), ~~AdExchanger ~~ (Most Innovative TV Advertising Technology), and ~~Business Insider ~~(Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by ~~Inc. Magazine ~~. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We’re looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You’ll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we’re looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You’ll play a central role in shaping how AI shows up in our product and how the team behind it grows.

**Responsibilities: **

- Manage and grow a team of data scientists focused on AI/ML product development

- Facilitate the team’s design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities

- Empower the team to innovate and explore new methodologies and improve upon existing algorithms

- Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features

- Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery

- Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload

- Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery

- Assess and mitigate risks to delivery, owning accountability for downstream business impacts

- Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value

- Develop lightweight but effective team processes to support fast iteration and scalable AI delivery

- Conduct performance reviews, coach team members, and support career growth planning for direct reports

- Contribute to hiring and onboarding efforts for the team

**Qualifications: **

- Master’s degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)

- Minimum 2 years of management experience, plus minimum of 6 years of experience in a Data Science role, or a related role in a technology environment

- Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders

- Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis

- Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science

- Proven ability to lead through ambiguity and move from 0→1 with new features or systems

- Advanced knowledge of statistics and probability, particularly their application in model development

- Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits

- Nice to have:

- PhD in a technical field

- Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems – with a successful track record of end-to-end implementation.

- TV Media Industry or Ad Tech experience a plus

**Benefits: **

- Competitive salary ($140,000 - $180,000/annually)

- Equity compensation

- Health insurance coverage for you and your dependents

- 401K, FSA, and commuter benefits

- $150 monthly spending account

- $1,000 annual continued education benefit

- $500 WFH reimbursement

- Unlimited PTO and sick days

- Monthly Company Wellness Day Off

- Snacks, drinks, and catered lunches at the office

- Team building events

- Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

Data Science Manager

The Home Depot, the world’s largest home improvement specialty retailer, values and rewards dedicated, knowledgeable, and experienced professionals.

We operate over 2,200 retail stores in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, Guam, Canada, and Mexico. All of our associates have one thing in mind — helping our customers build and improve their homes. 

Join The Home Depot team today and see for yourself why we are consistently ranked as a top Fortune 500 company.

Industry: Retail
Company Size: 10,001+ employees

The Home Depot

Req174273

**Position Purpose**

The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

**Key Responsibilities**

- 50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments

- 15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs

- 25% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management

- 10% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged

**Direct Manager/Direct Reports**

- This position reports to Director or above

- This position has Direct Reports and manages programs

**Travel Requirements**

- Typically requires overnight travel 5% to 20% of the time.

**Physical Requirements**

- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

**Working Conditions**

- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

**Minimum Qualifications**

- Must be eighteen years of age or older.

- Must be legally permitted to work in the United States.

- Demonstrated proficiency in predictive modeling, data mining and data analysis

- Proficient managing and growing team members in a professional setting

- Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting

- Demonstrated experience with translating high level strategy to tactical execution

**Preferred Qualifications**

- 11+ years of experience in business intelligence and analytics

- Previous people or project team management experience

- Demonstrated expertise in predictive modeling, data mining and data analysis

- Mastery running queries against data (preferably with Google BigQuery or SQL)

- Proficient with data visualization software (preferably Tableau)

- Mastery utilizing statistical techniques to identify key insights that help solve business problems

- Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP

**Minimum Education**

- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

**Preferred Education**

- No additional education

**Minimum Years Of Work Experience**

- 10

**Preferred Years Of Work Experience**

- No additional years of experience

**Minimum Leadership Experience**

- None

**Preferred Leadership Experience**

- None

**Certifications**

- None

**Competencies**

- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs

- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals

- Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization

- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals

- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences

- Develops Talent: Developing people to meet both their career goals and the organization's goals

- Directs Work: Provides direction, delegating and removing obstacles to get work done

- Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives

- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action

- Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity

- Interpersonal Savvy: Relating openly and comfortably with diverse groups of people

- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics

- Persuades: Using compelling arguments to gain the support and commitment of others

- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Data Science Senior Manager - Generative BI

It's simple, we believe life is more fun when you're in on the action. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences.

At DraftKings, The Crown Is Yours. 

We are driven by the thrill of the future and the pull of possibility. As an original, continuous gamechanger, we’re shaping the present and future of sports entertainment and digital experiences, leading the way into new markets with new products, and providing the ultimate experience to our customers. 

Here, we believe in the power and impact that comes from innovation, collaboration, and a winning culture. We’re a strong and dedicated global team of 4,000+ teammates driven to achieve great things. From your very first day, you’ll be part of an amazing culture that welcomes your ideas, champions your growth, and values you for you. 

Ready to own what’s next?

Industry: Mobile Gaming Apps
Company Size: 1,001-5,000 employees

DraftKings Inc.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Data Science Manager, you drive strategy and execution to power personalized experiences for millions of customers. You'll lead a team of data scientists and machine learning engineers, guiding projects from concept through production and delivering scalable, high-performing machine learning systems. In this role, you'll work closely with our Product, Engineering, Marketing, and Revenue teams to align priorities and drive measurable impact. Beyond execution, you'll set strategic direction, foster a culture of innovation, and raise the technical standards across the organization.

What You'll Do

- Manage, coach, and grow a team of data scientists and engineers focused on delivering impactful personalization initiatives.

- Guide your team through the Model Development Lifecycle (SDLC), championing technical rigor and engineering best practices.

- Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions.

- Foster a team culture of collaboration, experimentation, and continuous improvement.

- Conduct regular performance evaluations, deliver constructive feedback, and identify opportunities for growth and development.

- Set strategic priorities and align your team’s roadmap with larger business goals and outcomes.

- Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing.

- Stay current on trends in machine learning, personalization, and gaming to continuously evolve our capabilities.

What You'll Bring

- Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred.

- At least 5 years of experience in data science or machine learning engineering, including 2 or more years in a formal leadership or management role.

- Proven expertise in Python and SQL, with experience working across modern data platforms and cloud environments.

- Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles.

- Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks.

- Deep familiarity with DevOps and MLOps concepts, including containerization, automation, and production monitoring.

- Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives.

- Experience in the gaming industry or a related domain is a strong plus.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Data Science Manager, Marketing

HCA Healthcare is dedicated to giving people a healthier tomorrow. 

As one of the nation’s leading providers of healthcare services, HCA Healthcare is comprised of 188 hospitals and 2,400+ sites of care in 20 states and the United Kingdom. In addition to hospitals, sites of care include surgery centers, freestanding ERs, urgent care centers, diagnostic and imaging centers, walk-in clinics and physician clinics.

Many things set HCA Healthcare apart from other healthcare organizations; however, at our core, our greatest strength is our people. Every day, more than 290,000 colleagues go to work with a collective focus: our patients. Our focus positively impacts the care experience at the bedside and beyond.

We are proud of the impact we have in our communities through employment, investment and charitable giving. 

HCA Healthcare is a learning health system that uses our approximately 37 million annual patient encounters to advance science, improve patient care and save lives. At HCA Healthcare, we are excited about the future of medicine. We believe we are uniquely positioned to play a leading role in the transformation of care.

Note: Be alert for fraudulent job postings, emails, and phone calls. HCA Healthcare will never send you money or ask you to send money during the interview or hiring process.

Industry: Hospitals and Health Care
Company Size: 10,001+ employees

HCA Healthcare

Introduction

Do you want to join an organization that invests in you as a Data Science Manager? At HCA, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.

**Benefits**

HCA offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

- Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.

- Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.

- Free counseling services and resources for emotional, physical and financial wellbeing

- 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)

- Employee Stock Purchase Plan with 10% off HCA Healthcare stock

- Family support through fertility and family building benefits with Progyny and adoption assistance.

- Referral services for child, elder and pet care, home and auto repair, event planning and more

- Consumer discounts through Abenity and Consumer Discounts

- Retirement readiness, rollover assistance services and preferred banking partnerships

- Education assistance (tuition, student loan, certification support, dependent scholarships)

- Colleague recognition program

- Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)

- Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.

Learn More About Employee Benefits

~~Note: Eligibility for benefits may vary by location.~~

You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Data Science Manager WFH like you to be a part of our team.

**Job Summary And Qualifications**

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA’s Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.

The Manager, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team.

This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience.

What You'll Do:

- AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring. Responsible for team level OKRs related to product modules and agile delivery.

- FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD. Enable good developer experience in code-centric and low-code environments.

- CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional)

- LEADERSHIP: Manage, mentor, and coordinate the team of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations. Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms.

- STRATEGIC LEADERSHIP: Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.

- DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&I.

- PRODUCT DEVELOPMENT MINDSET: Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users. Develop and track data product OKRs for measurable value creation for the enterprise.

What qualifications you will need:

- Bachelor’s Degree in Computer Science or related field

- 4+ years of overall experience in various aspects of data science and machine learning with demonstrated progressive responsibilities; particularly in Predictive Modeling, Optimization and/or Operations Research

- Expert experience in SQL and Python

- Experience with structured and unstructured data (ie. tabular, text, images, video, etc)

- Experience with SQL relational and non-relational databases

- Experience with data processing and ETL tools (e.g Apache Spark)

- Experience with data visualization and data monitoring tools

- Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker

- Experience with cloud deployments in GCP or another cloud platform

- Experience with Agile development methods and tools (e.g. Azure Dev Ops)

- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders

- Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams

- Ability to tell a story using data and insights that drives action and change

- Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness

**Preferred Requirements**

- Masters/PhD Degree in Computer Science or related field

- Healthcare domain knowledge and experience

- Strong project management skills with the ability to manage multiple projects simultaneously

- Agile Delivery, Product Management or Scrum Master certifications

- Experience managing and unblocking teams in GCP platform

Work Location/Schedule:

- Must reside in or be willing to relocate to Nashville, TN, Orlando, FL, or Austin, TX

- WFH: M-F

Travel:

- The job may require travel from time-to-time, but not on a regular basis.

Visa Sponsorship:

- Not Offered

"Good people beget good people."- Dr. Thomas Frist, Sr.

HCA Healthcare Co-Founder

We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Data Science Manager WFH opening. Qualified candidates will be contacted for interviews.Submit your resume today to join our community of caring!

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Industry: Software Development
Company Size: 10,001+ employees

Amazon

**Description**

As a Data Science Manager (DSM), you will lead a team of economists, scientists, and data engineers working to solve complex scientific problems that have high business and customer impact. You will be responsible for building structural and predictive models, leveraging data science workflows, and driving innovations that deliver measurable results for Amazon customers.

Key job responsibilities

-  Leadership & Team Management: Independently manage and develop a diverse science team, creating an environment that enables consistent delivery and innovation; Build and maintain a high-performing team that can operate effectively and autonomously; Drive strategic growth opportunities for team members, providing paths to demonstrate higher-level scope, impact, and leadership; Establish clear performance metrics and audit mechanisms to track and communicate team progress; Foster a team culture focused on bringing research to production and delivering customer value

-  Technical & Scientific Direction: Partner with stakeholders and leadership to define and execute the scientific vision for your team; Lead the development of structural and predictive models, leveraging emerging technologies and novel features; Drive the implementation of data science workflows and simulation frameworks; Bridge the gap between science, technology, and business requirements; Leverage the broader Amazon scientific community to enhance team capabilities and knowledge sharing

-  Strategic Planning & Execution: Define and maintain team structure, strategic direction, and owned technologies; Establish processes that enable consistent delivery and quality of scientific artifacts; Drive reasonable schedules and adjust priorities to ensure optimal outcomes; Create and implement audit mechanisms to track team performance against goals; Remove roadblocks and optimize team productivity

-  Communication & Influence: Create well-written documents to effectively communicate with technical and non-technical audiences; Influence science and analytics practices across the organization; Build strong partnerships with stakeholders across different business units; Present complex scientific findings to senior leadership; Drive adoption of best practices and innovative solutions

**About The Team**

The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and UX to develop and deliver solutions that measurably achieve this goal.

**Basic Qualifications**

-  5+ years of building quantitative solutions as a scientist or science manager experience

-  2+ years of scientists or machine learning engineers management experience

-  5+ years of applying statistical models for large-scale application and building automated analytical systems experience

-  PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field

-  Knowledge of Python or R or other scripting language

-  Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

-  Experience in Database like NoSQL, or experience in SQL Server/MySQL and experience in software development

-  Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

-  Experience with data modeling, warehousing and building ETL pipelines

**Preferred Qualifications**

-  Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications

-  Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

-  Experience operating large data warehouses

-  Experience hiring, developing, and managing high-performing technical teams

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $142,300/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

**Company ** - Amazon.com LLC

Job ID: A3109136

Data Science Manager, PXT Central Science

**Job Summary and Qualifications **

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA’s Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.

The Manager, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team.

This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience.

**What You'll Do: **

- AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring. Responsible for team level OKRs related to product modules and agile delivery.

- FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD. Enable good developer experience in code-centric and low-code environments.

- CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional)

- LEADERSHIP: Manage, mentor, and coordinate the team of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations. Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms.

- STRATEGIC LEADERSHIP: Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.

- DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&I.

- PRODUCT DEVELOPMENT MINDSET: Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users. Develop and track data product OKRs for measurable value creation for the enterprise.

**What qualifications you will need: **

- Bachelor’s Degree in Computer Science or related field

- 4+ years of overall experience in various aspects of data science and machine learning with demonstrated progressive responsibilities; particularly in Predictive Modeling, Optimization and/or Operations Research

- Expert experience in SQL and Python

- Experience with structured and unstructured data (ie. tabular, text, images, video, etc)

- Experience with SQL relational and non-relational databases

- Experience with data processing and ETL tools (e.g Apache Spark)

- Experience with data visualization and data monitoring tools

- Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker

- Experience with cloud deployments in GCP or another cloud platform

- Experience with Agile development methods and tools (e.g. Azure Dev Ops)

- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders

- Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams

- Ability to tell a story using data and insights that drives action and change

- Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness

**Preferred Requirements **

- Masters/PhD Degree in Computer Science or related field

- Healthcare domain knowledge and experience

- Strong project management skills with the ability to manage multiple projects simultaneously

- Agile Delivery, Product Management or Scrum Master certifications

- Experience managing and unblocking teams in GCP platform

**Work Location/Schedule: **

- Must reside in or be willing to relocate to Nashville, TN, Orlando, FL, or Austin, TX

- WFH: M-F

**Travel: **

- The job may require travel from time-to-time, but not on a regular basis.

**Visa Sponsorship: **

- Not Offered

DeepIntent is the healthcare advertising platform marketers trust to drive effective campaigns. Purpose-built for healthcare and privacy-safe, the DeepIntent platform unites media, identity, and clinical data to produce industry-defining health intelligence. Consistently proven to deliver real-world results based on real-time optimization, the DeepIntent platform powers more than 600 pharmaceutical brands and all the leading healthcare agencies to innovate, differentiate, and reach their audiences across all channels and devices.

Industry: Advertising Services
Company Size: 201-500 employees

DeepIntent

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

**What You’ll Do**

DeepIntent is seeking an experienced Senior Director of Data Science to help lead our global data science organization and advance the next generation of data innovation in healthcare advertising technology. In this role, you will lead a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively.

The Senior Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial leaders to deliver scalable, data-driven solutions.

**Strategic & Organizational Leadership**

- Partner with executive and cross-functional leadership to translate data science capabilities into scalable, compliant, and commercially impactful solutions.

- Help execute the global data science roadmap supporting DeepIntent’s mission to transform healthcare marketing through data and technology.

- Lead and mentor a distributed team of data scientists across the U.S., Europe, and India.

- Foster a culture of innovation, experimentation, and collaboration across teams.

- Contribute to strategic planning and help identify new opportunities where advanced analytics and AI can drive business impact.

**Healthcare-Focused Data Science & AI**

- Develop and optimize predictive and causal models for patient and provider targeting, audience segmentation, and campaign performance measurement.

- Oversee the development and deployment of machine learning models supporting real-time bidding, healthcare audience modeling, and privacy-first identity resolution.

- Integrate real-world data (RWD), claims data, and digital engagement signals into scalable machine learning pipelines.

- Ensure models and data science practices align with healthcare privacy standards including HIPAA and other global regulatory frameworks.

**Data Infrastructure & Governance**

- Collaborate with engineering, product, and data partnerships teams to strengthen our data infrastructure supporting large-scale, multi-market model deployment.

- Implement best practices in feature engineering, reproducible research, and ML Ops to improve experimentation speed and reliability.

- Partner with legal and compliance teams to ensure responsible AI development and ethical use of healthcare data.

**Cross-Functional Collaboration**

- Work closely with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that improve targeting precision, optimize media performance, and enhance client outcomes.

- Translate complex modeling outputs into actionable insights for internal stakeholders and clients.

**Who You Are**

- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field

- Master’s or Ph.D. in Computer Science, Statistics, Mathematics a plus

- 8+ years of experience in data science, machine learning, or advanced analytics roles.

- 5+ years of people management experience managing data science or analytics teams.

- Experience working with healthcare data, adtech platforms, or marketing analytics environments.

- Strong understanding of programmatic advertising, identity resolution, and healthcare data ecosystems (claims, RWD, HCP and patient data).

- Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow, PyTorch, XGBoost).

- Strong foundation in statistics, causal inference, and measurement methodologies for media effectiveness and attribution.

- Excellent communicator capable of translating complex technical concepts to business stakeholders and clients.

- Experience working with healthcare compliance frameworks (HIPAA, GDPR, CCPA) and privacy-aware data science practices.

- Comfort working in global, cross-functional environments across multiple time zones.

- Passion for applying data science and AI to improve healthcare marketing outcomes.

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $185,000 - $220,000. The base salary range takes into consideration each candidate's skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here's what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

Sr Director, Data Science

At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 

We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.

We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.

At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.

Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.

We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.

We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.

Industry: Retail
Company Size: 10,001+ employees

Chewy

**Job Description**

**Our Opportunity:**

Chewy is looking for an Ads Analytics Manager to join the Chewy Ads team. This role will partner closely with Product, Engineering, Sales, and Ad Operations to deliver analytics that inform business decisions, support product development, and improve performance across the Chewy advertising ecosystem.

The Ads Analytics Manager will translate business needs into actionable insights, build and maintain high-quality dashboards, and support revenue-driving initiatives through strong analytical execution and domain expertise in digital advertising. This role requires the ability to independently structure analytical problems while collaborating cross-functionally to influence outcomes through data.

The ideal candidate brings a strong analytical foundation, experience in digital or performance marketing, and a passion for using data to improve products and business results.

**What You’ll Do**

- Support the development and execution of key analytics initiatives across Chewy Ads products and systems

- Gather, analyze, and interpret data to generate insights that inform product and business decisions

- Partner with Product, Engineering, and Ad Operations to shape analytics requirements and support product releases and operational processes

- Drive performance and yield optimization efforts through data analysis and monitoring

- Build, own, and maintain business and system dashboards that enable stakeholders to track performance and identify opportunities

- Leverage domain knowledge of the ads ecosystem to identify and support revenue-generating features, experiments, and projects

- Serve as a trusted analytics partner by answering complex questions requiring end-to-end understanding of data flows and system behavior

- Communicate findings clearly to stakeholders at varying levels, providing data-backed recommendations

**What You’ll Need**

- Bachelor’s degree in a relevant field (e.g., Computer Science, Mathematics, Engineering, Finance, Economics, or similar)

- 5–7 years of relevant analytics or data experience; ads, marketing, or ecommerce analytics preferred

- Strong proficiency in SQL and experience with analytics tools such as Snowflake, Tableau (or equivalent), Airflow, and related technologies

- Experience building dashboards and visualizations that support business decision-making

- Ability to independently structure analytical problems and deliver clear, actionable insights

- Solid understanding of digital advertising and performance marketing concepts

- Strong collaboration skills and comfort working in a matrixed, cross-functional environment

- Customer-first mindset and passion for improving end-to-end experiences through data

**Bonus Qualifications**

- Experience with digital advertising platforms and ecommerce performance marketing (Search, Social, Display, DSPs)

- Exposure to yield optimization or monetization analytics

- Experience supporting advertiser-facing or stakeholder-facing reporting

The base salary range for this role is $110,500 - $176,000.00.

- The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Marketing Analytics Manager

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