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Industry: Professional Services
Company Size: 2-10 employees

Next Wave AI

Savvy Admin PROD

Vice President of AI Program Execution

Department: Program Management Office (PMO) / AI & Technology

Reporting to: Chief Executive Officer (CEO) / Chief Operating Officer (COO) / Chief Technology Officer (CTO)

Location: Global / Remote / Major Tech Hubs

Position Overview

We are seeking a highly results-driven Vice President of AI Program Execution to lead the delivery and operational execution of enterprise-scale AI initiatives.

This role is responsible for translating AI strategy into actionable programs, ensuring complex AI projects are delivered on time, within scope, and with measurable business impact. The ideal candidate excels in execution, cross-functional coordination, and managing high-stakes, large-scale technology programs.

Key Responsibilities

1. AI Program Execution & Delivery

Lead end-to-end execution of AI programs from concept to deployment

Translate strategic AI initiatives into structured, executable project plans

Ensure on-time, on-budget, and high-quality delivery of AI solutions

2. Portfolio & Priority Management

Oversee a portfolio of AI projects, prioritizing based on strategic and financial impact

Balance resources across multiple high-impact initiatives

Drive alignment between executive priorities and execution teams

3. Cross-functional Leadership

Coordinate across AI research, data science, engineering, product, and business units

Serve as the central execution leader bridging strategy and delivery

Drive accountability across teams and stakeholders

4. Process & Execution Excellence

Establish standardized frameworks for AI project execution (Agile, hybrid models)

Define KPIs, milestones, and reporting structures

Continuously improve delivery efficiency and operational processes

5. Risk Management & Governance

Identify, assess, and mitigate risks across AI programs

Implement governance frameworks for project oversight and decision-making

Ensure compliance with internal policies and external regulations

6. Performance & Impact Tracking

Track and report key performance metrics for AI initiatives

Ensure measurable business outcomes (revenue growth, cost reduction, efficiency gains)

Drive continuous improvement through data-driven insights

7. Resource & Budget Management

Oversee allocation of talent, infrastructure, and financial resources

Optimize operational efficiency and ROI of AI initiatives

Manage vendor and partner relationships when applicable

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Business, or related field (MBA preferred)

18+ years of experience in program/project execution within technology or AI-driven environments

Proven track record delivering large-scale, cross-functional AI or digital transformation programs

Strong understanding of AI/ML lifecycle and system deployment

Experience leading global, cross-functional teams in fast-paced environments

Preferred Qualifications

Experience in AI-first companies, fintech, or large-scale platform organizations

Familiarity with MLOps, data platforms, and AI infrastructure

PMP, PgMP, or Agile certifications

Experience managing multi-million or billion-dollar project portfolios

Key Competencies

Exceptional execution and operational leadership

Strong stakeholder management and influence

Ability to manage complexity and ambiguity

Strategic thinking with hands-on delivery focus

Results-oriented and accountability-driven mindset

Vice President of AI Program Execution

Chief Growth Officer (CGO)

Reports to: Chief Executive Officer (CEO)

Department: Growth / Marketing / Product / Revenue

Level: C-Level Executive

Position Overview

The Chief Growth Officer (CGO) is responsible for driving sustainable revenue growth, user acquisition, and market expansion across the organization.

This executive role integrates marketing, product growth, data analytics, and customer experience to build scalable growth engines and maximize lifetime value (LTV).

Role Focus: Revenue growth, user acquisition, and scalable growth systems.

Key Responsibilities

1. Growth Strategy Leadership

Define and execute the company’s overall growth strategy.

Identify new growth opportunities across markets, channels, and products.

Align growth initiatives with business objectives and revenue targets.

2. User Acquisition & Expansion

Lead customer acquisition strategies across digital, partnerships, and organic channels.

Optimize conversion funnels and onboarding processes.

Drive geographic and segment expansion.

3. Revenue Optimization

Develop pricing strategies, monetization models, and revenue streams.

Improve customer lifetime value (LTV) and reduce churn.

Optimize unit economics and profitability.

4. Product-Led Growth

Collaborate with product teams to design growth-driven features.

Implement A/B testing, experimentation frameworks, and data-driven optimization.

Enhance user experience to drive engagement and retention.

5. Data & Analytics

Build and oversee growth analytics frameworks and dashboards.

Leverage data to identify trends, opportunities, and performance gaps.

Drive decision-making through metrics such as CAC, LTV, and conversion rates.

6. Cross-Functional Leadership

Align marketing, product, sales, and customer success teams.

Break down silos to create a unified growth engine.

Lead and scale high-performing growth teams.

Qualifications

Required

Bachelor’s degree in Business, Marketing, Economics, or related field.

20+ years of experience in growth, marketing, product, or revenue leadership roles.

Proven track record of scaling user base and revenue in high-growth environments.

Strong analytical and data-driven decision-making skills.

Preferred

MBA or advanced degree.

Experience in fintech, crypto, SaaS, or platform businesses.

Deep understanding of digital marketing, product growth, and user behavior.

Experience in international expansion.

Core Skills

Growth strategy and execution

User acquisition and retention

Revenue optimization and monetization

Product-led growth and experimentation

Data analytics and performance tracking

Leadership and cross-functional alignment

Key Performance Indicators

Revenue growth rate

Customer acquisition cost (CAC)

Customer lifetime value (LTV)

Conversion and retention rates

Market expansion success

ROI on growth initiatives

Chief Growth Officer

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