Head of Data Science & Forecasting for Underwriting

9025 CVS Shared Services Resources LLC; Texas; Hybride; USD 144 000 - 288 000; Plein temps

Résumé du poste

CVS Health is seeking a Lead Director for Data Science focused on Forecasting Accuracy and Analytical Insights in Underwriting. You will lead a 10+ person team delivering analytics, P&L forecasting, and risk insights to support underwriting and sales decisions.

The role blends data science rigor with strategic product leadership, driving financial integrity and actionable business outcomes across the underwriting ecosystem.

Qualifications

• 12+ years of 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, business impact assessment, and financial validation.
• Strong ability to analyze and synthesize quantitative and qualitative data to generate insights.
• Experience developing self-service reporting solutions and communicating insights from reports and dashboards.
• Proven experience validating business outcomes and financial results using large-scale datasets.
• Advanced SQL and data analysis skills.
• Exceptional communication, stakeholder management, and executive presentation skills.

Responsabilités

• Lead data science strategy for underwriting transformation software products, from problem framing through production deployment.
• Define, track, and report product and business metrics and OKRs; build scalable reporting and executive-ready insights.
• Foster cross-functional collaboration across Product, Engineering, Underwriting, Finance, Actuarial, and Executives.
• Coach a high-performing team of decision scientists, analysts, and validators.

Outils

Databricks

SQL

Tableau

Power BI

Python

Description du poste

CVS Health is seeking a Lead Director for Data Science focused on Forecasting Accuracy and Analytical Insights in Underwriting. You will lead a 10+ person team delivering analytics, P&L forecasting, and risk insights to support underwriting and sales decisions.

The role blends data science rigor with strategic product leadership, driving financial integrity and actionable business outcomes across the underwriting ecosystem.