Principal, Data Science, Analytics & Reporting Job at CVS Health

Principal, Data Science, Analytics & Reporting

CVS Health

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

144200.00 - 288400.00 USD / Year

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Job offer has expired

Job Description:

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. 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.

Job Responsibility:

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
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
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
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

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

Nice to have:

Master’s degree or PhD
People management experience

What we offer:

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources
CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program

Additional Information:

Job Posted:
April 16, 2026

Expiration:
April 16, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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