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Requisition Job Description

Principal, Data Science, Analytics & Reporting

Underwriting Transformation Program

Position Summary

At CVS Health, we are transforming underwriting through modern, scalable software platforms powered by advanced data science, analytics, and reporting.

The Principal, Data Science, Analytics & Reporting will lead data science, analytics, and enterprise reporting capabilities embedded within a large‑scale underwriting transformation program. This role enables data‑driven decision‑making across product, accurate forecasting for drug pricing and P&L, underwriting, and supporting executive leadership by delivering causal insights, forecasting, scenario modeling, and outcome‑focused metrics.

This leader operates at the intersection of product strategy, advanced analytics, and stakeholder alignment, ensuring insights are scalable, actionable, and directly tied to underwriting performance and financial outcomes.

Key Responsibilities

Product‑Embedded Data Science & Analytics Leadership

• 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.

Metrics, Reporting & OKR Ownership

• 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.
• Exploring and delivering emerging technologies that can help transform BI and reporting to leveraging AI to build reporting layers that are flexible, dynamic and can enable user driven exploration.

Advanced Analytics & Modeling

• Provide technical leadership in:
  • Causal inference and counterfactual analysis to assess underwriting and pricing changes.
  • Time‑series, advance regression, tree based modeling and forecasting for volume, financial, and risk projections.
  • Machine learning and statistical modeling to improve underwriting accuracy and efficiency.
• Ensure analytical models are interpretable, validated, and production‑ready.

Cross‑Functional Leadership & Stakeholder Management

• Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.
• Build trusted partnerships with stakeholders at all organizational levels, serving as a strategic thought partner for data‑driven decisions.
• Translate complex analytical insights into clear, actionable narratives for both technical and non‑technical audiences.

Required Qualifications

Technical & Analytical Expertise

• 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).

Strategic & Leadership Capabilities

• 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. People management experience is a plus.

Education

• 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

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 04/24/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.