Director of Decision Science & Forecasting Analytics

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

Job summary

CVS Health is seeking a Lead Director, Decision Scientist to own forecasting accuracy and analytical validation for underwriting-related financial products. Lead strategy for P&L accuracy, anomaly detection, and validation across analytics platforms.

You will build self‑service reports, KPIs, dashboards, and present findings to executives while coaching a team of decision scientists and analysts. The role emphasizes cross‑functional collaboration with finance, data teams, and actuarial groups to

Qualifications

• 12+ years of experience in analytics, decision science, BI, or data validation.
• 5+ years leading large analytical teams and developing people leaders.
• Expertise in analytical validation, anomaly detection, root cause analysis, and financial validation.

Responsibilities

• Establish enterprise strategy for analytical validation across underwriting ecosystems.
• Lead P&L validation, forecasting validation, and financial impact assessments.
• Develop self-service reporting solutions for timely insights and performance metrics.
• Translate analytical findings into actionable recommendations for executives.

Skills

Analytical validation

Anomaly detection

Root cause analysis

Financial validation

Executive communication

SQL

Data analysis

Stakeholder management

Leadership

Education

Advanced degree in Analytics / Statistics / Finance

Tools

Databricks

Tableau

Power BI

Python

Job description

CVS Health is seeking a Lead Director, Decision Scientist to own forecasting accuracy and analytical validation for underwriting-related financial products. Lead strategy for P&L accuracy, anomaly detection, and validation across analytics platforms.

You will build self‑service reports, KPIs, dashboards, and present findings to executives while coaching a team of decision scientists and analysts. The role emphasizes cross‑functional collaboration with finance, data teams, and actuarial groups to