Lead Data Scientist (Medicare Sales Strategy)

We are seeking a Lead Data Scientist to own the analytical strategy and data science roadmap for our Medicare sales organization and serve as a primary advocate for AI adoption across the Sales Center of Excellence (SCOE).

You will set technical direction, lead a team of data scientists and analysts, and serve as the primary thought partner to sales leadership on data-driven and AI-enabled growth initiatives across Medicare Advantage and Part D markets.

Responsibilities

• Define and drive the data science and AI strategy supporting Medicare sales, distribution, and enrollment growth
• Champion AI adoption across SCOE — identify high-value use cases, build the case for investment, and guide teams through the adoption of AI-powered tools and workflows
• Lead a team of data scientists and analysts — setting priorities, reviewing work, and developing talent
• Architect and oversee end-to-end modeling pipelines: lead scoring, enrollment forecasting, agent performance, and retention risk
• Own the sales data ecosystem — governance, quality standards, and integration across CRM, CMS, and internal platforms
• Translate ambiguous business questions from Sales, Marketing, and Finance leadership into structured analytical programs
• Establish best practices for model development, validation, deployment, and monitoring across the team, including emerging generative AI and LLM-based applications
• Present findings and recommendations directly to VP/C-suite stakeholders; influence strategic decisions with data
• Partner with Engineering and IT to productionize models and embed insights into sales workflows and tools
• Represent the data science and AI function in cross-functional planning, budgeting, and roadmap discussions

Required Qualifications 5+ years in data science or advanced analytics, with 3+ years in a lead, staff, or principal capacity including:

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