Visa: USCs, GCs ONLY Data Reconciliation Analyst (CMS Programs) Location: 100% Remote Duration: 5 years contract Job Description The Enrollment Reconciliation & Issuer Data Analyst supports CMS program operations by overseeing issuer data submissions, conducting reconciliation analysis, and driving data quality improvements across enrollment systems. This role blends technical data analysis, issuer engagement, and program policy support, with a growing emphasis on AI-enabled process optimization. Key Responsibilities Enrollment Reconciliation Operations
Monitor and coordinate issuer file submissions for reconciliation cycles (e.g., Recon Run activities).
Review statistical outputs to identify data anomalies, trends, and issuer-specific issues.
Analyze enrollment and reconciliation datasets to ensure accuracy and compliance with CMS requirements.
Issuer Data Quality & Oversight
Identify and investigate discrepancies in issuer-submitted data, including DNB and FFM-related fields.
Conduct targeted outreach to issuers to resolve data issues and ensure corrective actions.
Track issuer communications, responses, and remediation progress.
Respond to issuer inquiries via CMS Help Desk and Enrollment Community channels.
Program Implementation & Policy Support
Support implementation of new reconciliation policies and indicators (e.g., Do Not BAR indicator).
Collaborate with CMS to review monthly statistics and develop issuer guidance ahead of program changes.
Recommend enhancements to tools and reporting systems (e.g., dashboards, addenda).
Reporting & Analytics
Contribute to the development and refinement of Enrollment Alignment Performance Summary (EAPS) reports.
Perform quality control (QC) on monthly reports prior to CMS distribution.
Synthesize findings into actionable insights and communicate trends to CMS stakeholders.
AI & Process Innovation
Leverage AI tools (e.g., Copilot, CMS Chat) to improve reporting accuracy and operational efficiency.
Develop and refine prompts for AI-assisted analysis and knowledge support tools.
Build internal AI-driven solutions to provide authoritative guidance on enrollment reconciliation topics.
Preferred Qualifications
Experience with enrollment reconciliation, issuer data, or ACA/FFM programs.
Strong analytical skills with experience in Excel-based data analysis and reporting.
Familiarity with CMS systems, policies, and issuer engagement processes.
Experience with data quality assurance, statistical review, or performance reporting.
Exposure to AI tools for analytics or workflow automation is a plus.
Skills
Information TechnologyIT Services and IT Consulting