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

Company: CVS Health

Location: Austin, TX (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-17

About this role

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...

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