Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting
CVS Health
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. 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. 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. 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.
- 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.
- Proven experience validating business outcomes and financial results using large-scale datasets.
- Advanced SQL and data analysis skills.
- PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics experience.
$171.2k - $285.3k
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