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.

Position Summary

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.

Key Responsibilities

Product‑Embedded Leadership for Data Science & Advanced Analytics

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.

Metrics, Reporting & OKR Ownership

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.

Cross‑Functional Leadership & Stakeholder Management

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.

Organizational Leadership

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.