Senior Healthcare AI Analytics PM

CVS Health

Springfield (IL)

On-site

USD 107,000 - 284,000

Full time

13 days ago
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Benefits offered by this job

Comprehensive benefits
Bonus eligibility
Equity program

Job summary

CVS Health is seeking a Senior Technical Product Manager to lead AI-powered analytics initiatives within the Analytics & Behavior Change organization. You will collaborate with data scientists, ML engineers, and clinicians to bring AI-driven insights from concept to production, influencing care and access to health services.

The role requires strong product management, ML literacy, and experience working in a cross-functional, fast-paced environment.

Qualifications

  • 5+ years of overall work experience.
  • 3+ years' experience with Machine Learning Engineering and Data Science.
  • 2+ years' Product Management or related experience working with data scientists and engineers.
  • 2+ years' experience with AI, data analytics, or clinical/claims data to drive insights.

Responsibilities

  • Create product requirements, acceptance criteria, and detailed specs for Data Science, Engineering, and Leadership teams.
  • Support engineering and data science to implement features by clarifying requirements and facilitating discussions.
  • Coordinate cross-team hand-offs and define data SLAs with upstream/downstream teams.
  • Develop go-live timelines with data science and engineering partners; align timelines with multiple teams.

Skills

Cross-functional collaboration
ML awareness
Product Management
Communication skills
Agile methodologies

Education

Bachelor's degree in CS/related field
Master's degree preferred

Tools

MLOps
Data analytics tools

Job description

CVS Health is seeking a Senior Technical Product Manager to lead AI-powered analytics initiatives within the Analytics & Behavior Change organization. You will collaborate with data scientists, ML engineers, and clinicians to bring AI-driven insights from concept to production, influencing care and access to health services.

The role requires strong product management, ML literacy, and experience working in a cross-functional, fast-paced environment.

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