Job Description:

• 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
• Apply time-series, advanced regression, tree-based modeling, and forecasting for volume, financial, and risk projections
• Use machine learning and statistical modeling to improve underwriting accuracy and efficiency
• Partner with Product Management and Engineering to embed analytics and reporting into core product workflows
• Define, track, and report product, operational, and business metrics and OKRs
• Establish scalable reporting frameworks and dashboards for product performance, financial impact, and delivery outcomes
• Deliver executive-ready insights explaining progress, risks, and tradeoffs
• Explore and deliver emerging technologies, including AI-enabled flexible and dynamic reporting layers
• Facilitate communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams
• Translate complex analytical insights into actionable narratives for technical and non-technical audiences
• Lead, coach, and develop a high-performing organization of decision scientists, analysts, and validation professionals
• Define team vision, strategy, goals, priorities, and OKRs
• Manage resource planning, workload prioritization, and organizational growth
• Provide executive-level communication, reporting, and strategic recommendations

Requirements:

• 12+ years of experience in analytics, decision science, business intelligence, financial analysis, quality assurance, or data validation
• 5+ years of experience leading large analytical teams and developing people leaders
• Expertise in analytical validation, anomaly detection, root cause analysis, business impact assessment, and financial validation
• Ability to analyze and synthesize quantitative and qualitative data to generate insights and explain business outcomes
• Experience developing self-service reporting solutions and communicating insights from reports and dashboards
• 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
• Preferred: PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics experience
• Preferred: Experience validating underwriting, forecasting, pricing, or P&L platforms
• Preferred: Experience with Databricks, SQL, Tableau, Power BI, Python, or similar analytics platforms
• Preferred: Experience leading through managers, including setting direction, coaching people leaders, and driving accountability across multi-level data science teams

Benefits:

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources supporting physical, emotional, and financial well-being
• CVS Health bonus, commission or short-term incentive program
• Equity award program

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