[Hiring] Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting @CVS Health

Role Description

The 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
• Anomaly detection in live underwriting deals

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.

Qualifications

• 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.

Requirements

• 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, advanced 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.
• 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.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.