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 SummaryCVS Health’s Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights driving growth, health outcome improvements, and access to health care across all our businesses in 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 clinical decision support intelligence. 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 Director within A&BC, you will be responsible for leading the creation, launch, and maintenance of an AI-powered, clinical data insights platform that powers both automation and workflow tools for Aetna Clinicians. This role requires a strong understanding of product management, clinical data, AI-powered insights acceleration, and cross-team collaboration.
The ideal candidate has familiarity with the following areas:
- Insight generation from unstructured clinical documentation using genAI, natural language processing and traditional ML, as well as experience building platform products.
- Reusable services designed to serve multiple downstream applications rather than a single use case.
- Working effectively with cross-functional teams, most importantly data scientists and machine learning engineers, to bring clinical data and AI products from inception to production.
This is a hands-on, individual-contributor role today. You'll help define how the platform team should be structured as scope and complexity grow, with the opportunity to build and lead that team over time.
Responsibilities:
- Develop a deep understanding of clinical and application-team needs through direct discovery, product data, and quantitative/qualitative analysis, to determine what should be built once and reused vs. left application-specific.
- Structure ambiguous problems, form and test hypotheses, and prioritize the platform investments with the highest clinical and business value.
- Define product strategy and own the platform roadmap, translating recurring needs from application/activation teams into reusable, scalable platform capabilities.
- Own multi-year roadmap and investment priorities, making evidence-based trade-offs across clinical value, team productivity, technical feasibility, reliability, and business outcomes.
- Lead the platform from concept through delivery in close partnership with Data Science and Engineering, making clear technical and product trade-offs (build vs. integrate vs. vendor).
- Partner with application teams to launch and scale platform capabilities, accelerate adoption, and identify barriers to reuse.
- Define platform health and success metrics:
- Coverage, accuracy, reliability, adoption.
- Using data and experimentation to inform roadmap and investment decisions.
- Influence senior stakeholders and align Data Science, Engineering, and cross-functional partners around platform strategy, priorities, and trade-offs.
Required Qualifications
- 8+ years of product management experience building enterprise software, platforms, or AI/ML and Generative AI products, including experience taking complex technical products from concept through launch, adoption, and iteration.
- 8+ years demonstrating exceptional analytical and product judgment, with ability to structure ambiguous problems and translate quantitative and qualitative evidence into strategy and measurable outcomes.
- 6+ years’ experience working with AI/ML and Generative AI products and application architectures, with technical fluency to partner deeply with Data Science and Engineering.
- 5+ years of experience influencing senior stakeholders and driving decisions across complex, cross-functional, matrixed organizations.
- 5+ years of experience demonstrating executive communication and storytelling skills, with the ability to translate fluidly between technical, clinical, and business audiences.
Preferred Qualifications
- Domain expertise in healthcare or health insurance, including familiarity working with unstructured clinical documentation.
- Experience building platform products and reusable services designed to serve multiple downstream applications rather than a single use case.
- Experience with healthcare data interoperability standards and multi-channel data intake (e.g., fax/EDI, EMR feeds).
- Experience evaluating emerging AI/ML technologies and external vendor solutions.
- Experience defining and measuring platform adoption and business outcomes.
Education
- Bachelor's degree required, preferably in a quantitative, analytical, or engineering field.
Pay Range
The typical pay range for this role is:
$100,000.00 - $231,540.00
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
- 8+ years of product management experience building enterprise software, platforms, AI/ML, or Generative AI products, including taking complex technical products from concept through launch, adoption, and iteration.
- 8+ years demonstrating exceptional analytical and product judgment, structuring ambiguous problems, and translating quantitative and qualitative evidence into strategy and measurable outcomes.
- 6+ years of experience working with AI/ML and Generative AI products and application architectures, with technical fluency to partner with Data Science and Engineering.
- 5+ years influencing senior stakeholders and driving decisions across complex, cross-functional, matrixed organizations.
- 5+ years demonstrating executive communication and storytelling skills across technical, clinical, and business audiences.
- Bachelor's degree, preferably in a quantitative, analytical, or engineering field.
- Domain expertise in healthcare or health insurance, including familiarity with unstructured clinical documentation.
- Experience building platform products and reusable services for multiple downstream applications.
- Experience with healthcare data interoperability standards and multi-channel data intake, such as fax/EDI and EMR feeds.
- Experience evaluating emerging AI/ML technologies and external vendor solutions.
- Experience defining and measuring platform adoption and business outcomes.
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.
