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 colleagues who care deeply, innovate with purpose, hold themselves accountable and prioritize safety and quality in everything we do.
CVS 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.
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.
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.
Benefits:
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility