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.
Position Summary
CVS Health’s Analytics & Behavior Change (A&BC) organization tackles complex challenges at the intersection of healthcare and technology. We use advanced analytics, machine learning, modeling, and hypothesis‑driven approaches to turn data into actionable insights that drive growth, improve outcomes, and increase access to care across CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.
The A&BC organization is looking to grow its Product team supporting advanced analytic automation and smart routing. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.
As a Senior Technical Product Manager within A&BC, you will be responsible for contributing to the creation, launch, and maintenance of AI-powered analytics support Aetna clinicians. This role requires a strong understanding of Product Management, Machine Learning algorithms, AI-powered insights acceleration, and cross-team collaboration. The ideal candidate has strong data literacy, experience with MLOps, threshold tuning & statistical risk management and experience with clinical policy and workflow integration. This person can work effectively with cross-functional teams, most importantly data scientists and machine learning engineers, to bring clinical data and AI/ML products from inception to production.
Responsibilities:
- Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams.
- Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration.
- Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, accuracy, and quality. Be prepared to get into technical details during discovery and while supporting the team to make trade-off decisions.
- Facilitate cross-team hand-offs and define data SLAs and interface contracts with upstream and downstream teams.
- Develop go-live timelines with your core data science team and engineering partners; align timelines and scope with multiple developer teams and stakeholders.
- Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team’s potential solution.
- Liaise with clinicians to validate model results and to facilitate review and refinement.
- Define, track, and analyze product performance metrics to drive feature prioritization and demonstrate ROI.
- Work with internal customers and executive stakeholders to maintain product roadmaps.
- Follow Agile best practices, including directly leading and guiding a dedicated scrum team of data scientists and software engineers.
Required Qualifications
- 5+ years of overall work experience.
- 3+ years’ experience working cross-functionally with Machine Learning Engineering and Data Science.
- 2 years’ Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers).
- 2+ years’ experience working with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value.
- 2+ years demonstrating the ability operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes.
- 2+ years demonstrating the ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders, including clinicians, as well as business concepts and requirements to Data Science, Engineering, and other technical teams.
- 2+ years of experience supporting and managing products throughout the full lifecycle, with a proven track record of contributing to successful product delivery and a strong understanding of QA methodologies and best practices.
- 2+ years of experience demonstrating the ability to drive results in complex, fast-paced environments, effectively navigating ambiguity, influencing stakeholders, and delivering business outcomes.
Preferred Qualifications
- Familiarity with MLOps, including model monitoring, data/concept drift detection and threshold calibration for predictive decision engines
- Familiarity with healthcare data interoperability standards
- Deep knowledge of various types of healthcare data, including experience utilizing clinical and claims data to create a longitudinal patient view or using AI to drive clinical data insights.
- Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry.
- Technical product management experience and/or experience with general AI/machine learning teams.
Education
- Bachelor’s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field required.
- Master’s degree preferred.
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 5+ years of overall work experience
- 3+ years working cross-functionally with Machine Learning Engineering and Data Science
- 2 years of Product Management, Product Management-adjacent, or Consulting experience partnering with Data Scientists and Engineers
- 2+ years working with AI, data analytics, data products, or complex analytics using clinical or claims data
- 2+ years operating effectively within complex stakeholder environments, driving consensus and collaborative decision-making
- 2+ years communicating technical concepts to business stakeholders and business requirements to technical teams
- 2+ years supporting and managing products through the full lifecycle, including QA methodologies and best practices
- 2+ years driving results in complex, fast-paced environments while navigating ambiguity and influencing stakeholders
- Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field
- Familiarity with MLOps, model monitoring, data or concept drift detection, and threshold calibration
- Familiarity with healthcare data interoperability standards
- Deep knowledge of healthcare data, including clinical and claims data, longitudinal patient views, or AI-driven clinical insights
- Strong interest in the healthcare sector and healthcare transformation
- Technical product management experience or experience with general AI and machine learning teams
- Master's degree
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
