Head of Data Science for Underwriting Forecasting

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

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off (PTO)

Retirement savings options

Wellness programs

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, mentor a senior team, and partner with Product, Engineering, and Finance to optimize underwriting results.

The role focuses on reducing leakage, improving P&L accuracy, and delivering insights for data-driven decisions. Strong leadership and communication are essential.

Qualifications

• 12+ years of analytics, decision science, or data validation experience.
• 5+ years leading large analytical teams and developing leaders.
• Expertise in validation, anomaly detection, and financial validation.
• Strong ability to analyze and synthesize data and communicate outcomes.
• Experience building self-service reporting and dashboards.

Responsibilities

• Lead data science and analytics strategy for underwriting transformation software.
• Design predictive and scenario-based analytics for underwriting decisions.
• Oversee time-series, regression, and forecasting models for volume and risk.
• Embed analytics into core product workflows with Product & Engineering.
• Provide executive-ready insights on progress, risks, and tradeoffs.
• Direct a team of 10+ data scientists and validation professionals.

Skills

Data science leadership

Forecasting & P&L modelling

Stakeholder management

Analytics strategy

Team building

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, mentor a senior team, and partner with Product, Engineering, and Finance to optimize underwriting results.

The role focuses on reducing leakage, improving P&L accuracy, and delivering insights for data-driven decisions. Strong leadership and communication are essential.