# Director, Analytics & Behavior Change

**Company**: CVS Health
**Experience**: senior
**Job type**: full-time
**Salary**: $100,000.00 - $231,540.00
**Category**: Product Management
**Industry**: Healthcare

**Apply**: https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/NY---New-York/Director-Product-Management---AI---ML-Platform_R1055115?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_50cec1da-567

## 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

## Skills

### Required
- product management
- AI/ML
- Generative AI
- data analysis
- clinical data
- platform development

### Nice to have
- healthcare
- health insurance
- unstructured clinical documentation
- healthcare data interoperability standards
- multi-channel data intake

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