Director of Data Science: Forecasting & Underwriting

CVS Health; Virginia; Hybrid; USD 144,000 - 288,000; Full time

Job summary

CVS Health is seeking a Lead Director of Data Science for Forecasting Accuracy and Analytical Insights in Underwriting. You will guide analytics strategy for underwriting transformation, shaping models, dashboards, and decisions that impact P&L and risk.

You will lead 10+ data scientists, partner with Product, Engineering, and Finance to deliver executive-ready insights, validate outcomes, and drive scalable reporting and AI-enabled analytics across the underwriting ecosystem.

Qualifications

• 12+ years of analytics, decision science, or related experience.
• 5+ years leading large analytical teams.
• Expertise in analytical validation, anomaly detection, root cause analysis, and financial validation.
• Strong ability to analyze and synthesize data to generate insights and explain business outcomes.
• Experience developing self-service reporting solutions.
• Proven experience validating business outcomes and financial results with large datasets.
• Advanced SQL and data analysis skills.
• Excellent communication, stakeholder management, and executive presentation skills.

Responsibilities

• Lead the data science strategy for underwriting transformation software products.
• Design predictive and scenario-based analytics for underwriting, pricing, and risk decisions.
• Develop time-series, regression, and forecasting models for volume and risk.
• Apply machine learning to improve underwriting accuracy and efficiency.
• Collaborate with Product and Engineering to embed analytics into core workflows.
• Define metrics, reporting, and OKRs; deliver executive-ready insights.

Skills

Analytics leadership

SQL

Data analysis

Executive communication

Self-service reporting

Databricks

Tableau

Power BI

Python

Forecasting

Underwriting analytics

Team management

Tools

Databricks

SQL

Tableau

Power BI

Python

Job description

CVS Health is seeking a Lead Director of Data Science for Forecasting Accuracy and Analytical Insights in Underwriting. You will guide analytics strategy for underwriting transformation, shaping models, dashboards, and decisions that impact P&L and risk.

You will lead 10+ data scientists, partner with Product, Engineering, and Finance to deliver executive-ready insights, validate outcomes, and drive scalable reporting and AI-enabled analytics across the underwriting ecosystem.