CVS Health

Compensation

Full Description

Job Description: • Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment. • Design and operationalize causal, predictive, and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions. • Partner closely 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 aligned to organizational and underwriting transformation goals. • Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes. • Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs. • Provide technical leadership in causal inference and counterfactual analysis to assess underwriting and pricing changes. • Ensure analytical models are interpretable, validated, and production‑ready. • Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams. Requirements: • 5+ years of experience in providing analytical leadership and expertise to forecasting and financial software products. • Deep expertise in causal inference, including causal modeling frameworks and bias-adjustment techniques • Experience building counterfactual and “what-if” scenario analysis systems at scale. • Strong background in time-series forecasting and predictive modeling using modern statistical and machine learning approaches. • Proven ability to design and operationalize end-to-end analytics or ML pipelines. • 5+ years of strong Python skills and working knowledge of SQL and distributed data platforms (e.g., Spark). • 5+ years of demonstrated success translating ambiguous business and product questions into measurable analytical solutions. • 5+ years of experience partnering with product, engineering, and business leaders to influence strategy and outcomes. • Track record of delivering analytics and reporting capabilities adopted by business and executive stakeholders. • Strong executive communication and storytelling skills. • 5+ years of experience mentoring and leading senior data science and analytics professionals. • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or PhD preferred. Benefits: • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs