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Product Manager, Clinical Data Science & AI

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

92700.00 - 222480.00 USD / Year
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Job Description:

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. 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.

Job Responsibility:

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Stakeholder teams
  • Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand users and the business
  • Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, and quality
  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses
  • Liaise with clinicians to get an understanding of clinical best practices, requirements, and validation of AI outputs
  • Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization
  • Draft, refine and communicate business cases to key stakeholders to obtain input and buy-in
  • Work with internal customers, end users, and other stakeholders to maintain product roadmaps
  • Clarify and coordinate dependencies with other product teams and stakeholders, and mitigate the risks and dependencies proactively
  • Support the establishment and maintenance of release-management, product planning and launch frameworks
  • Champion Agile methodologies and lean practices in product development

Requirements:

  • 3+ years' experience working cross-functionally with Engineering or Data Science teams and familiarity with Data Science concepts
  • 1-2 years' Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers)
  • Strong experience with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value
  • Experience in stakeholder management
  • Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field

Nice to have:

  • Familiarity with AI including GenAI, machine learning, and deep learning
  • Deep knowledge of various types of healthcare data, including a strong grasp of data nuances, common use cases, and limitations, with experience in common analytics tools including, but not limited to, Tableau
  • Strong interest in the Healthcare sector
  • Technical product management experience and/or experience with prompt engineering a plus
  • Demonstrated ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes
  • Demonstrated ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders and customers as well as business concepts and requirements to Data Science, Engineering, and other technical teams
  • Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle
  • Ability to drive outcomes in a complex environment and navigate ambiguity
What we offer:
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Additional Information:

Job Posted:
October 14, 2025

Expiration:
December 27, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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