Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

The Lead Director, Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting, ensures the accuracy, reliability, and financial integrity of analytics-driven products across the underwriting ecosystem. This leader sets the strategy for reducing financial leakage, goal-seeking underwriting scenario optimization, forecasted P&L accuracy, underwriting risk-management, insights and recommendations for underwriting/sales decision making, and anomaly detection in live underwriting deals. They ensure that underwriters and sales partners are supported by technology with various financial tools, data, and insights.

This role combines the analytical rigor of a Data Scientist with the leadership capabilities of a financial product development leader. The position leads a team of 10+ data scientists responsible for supporting underwriting analytical needs, P&L forecasting accuracy, analytical insights and validation, reporting solutions, business impact, and financial result verification.

• Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment.
• Design and operationalize predictive, and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions.
• Time‑series, advance regression, tree based modeling and forecasting for volume, financial, and risk projections.
• Machine learning and statistical modeling to improve underwriting accuracy and efficiency.
• Partner closely with Product Management and Engineering to embed analytics and reporting into core product workflows.

• Define, track, and report product, operational, and business metrics and OKRs aligned to organizational and underwriting transformation goals.
• Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes.
• Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs.
• Exploring and delivering emerging technologies that can help transform BI and reporting to leveraging AI to build reporting layers that are flexible, dynamic and can enable user driven exploration. 

• Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.
• Build trusted partnerships with stakeholders at all organizational levels, serving as a strategic thought partner for data‑driven decisions.
• Translate complex analytical insights into clear, actionable narratives for both technical and non‑technical audiences.

• Lead, coach, and develop a high-performing organization of decision scientists, analysts and validation professionals.
• Define team vision, strategy, goals, priorities, and OKRs.
• Manage resource planning, workload prioritization, and organizational growth.
• Provide executive-level communication, reporting, and strategic recommendations.

• 12+ years of experience in analytics, decision science, business intelligence, financial analysis, quality assurance, or data validation.
• 5+ years of experience leading large analytical teams and developing people leaders.
• Expertise in analytical validation, anomaly detection, root cause analysis, business impact assessment, and financial validation.
• Strong ability to analyze and synthesize both quantitative and qualitative data to generate insights and explain business outcomes.
• Experience developing self-service reporting solutions and communicating insights from reports and dashboards.
• Proven experience validating business outcomes and financial results using large-scale datasets.
• Advanced SQL and data analysis skills.
• Exceptional communication, stakeholder management, and executive presentation skills.

• PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics experience.
• Experience validating underwriting, forecasting, pricing, or P&L platforms.
• Experience with Databricks, SQL, Tableau, Power BI, Python, or similar analytics platforms.
• Experience leading through managers, including setting direction, coaching people leaders, and driving accountability across multi-level data science teams.

The typical pay range for this role is: