Lead AI Analytics Product Manager

CVS Health

Annapolis (MD)

On-site

USD 107,000 - 284,000

Full time

7 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Retirement Savings
Wellness programs
Equity awards

Job summary

CVS Health's Analytics & Behavior Change (A&BC) organization is expanding its Product team to deliver AI-powered analytics support for clinicians. As a Senior Technical Product Manager, you will guide data science and engineering partners from inception to production, balancing performance, scalability and clinical impact.

You will work with clinicians, data scientists, and software engineers to define requirements, track metrics, and communicate complex concepts to non-technical stakeholders.

Qualifications

  • 5+ years of overall work experience.
  • 3+ years' experience working cross‑functionally with Machine Learning Engineering and Data Science.
  • 2 years' Product Management, Product Management‑adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers).
  • 2+ years' experience working with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value.
  • 2+ years demonstrating the ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision‑making processes.
  • 2+ years demonstrating the ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders, including clinicians, as well as business concepts and requirements to Data Science, Engineering, and other technical teams.
  • 2+ years of experience supporting and managing products throughout the full lifecycle, with a proven track record of contributing to successful product delivery and a strong understanding of QA methodologies and best practices.
  • 2+ years of experience demonstrating the ability to drive results in complex, fast‑paced environments, effectively navigating ambiguity, influencing stakeholders, and delivering business outcomes.

Responsibilities

  • Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams.
  • Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration.
  • Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, accuracy, and quality. Be prepared to get into technical details during discovery and while supporting the team to make trade‑off decisions.
  • Facilitate cross‑team hand‑offs and define data SLAs and interface contracts with upstream and downstream teams.
  • Develop go‑live timelines with your core data science team and engineering partners; align timelines and scope with multiple developer teams and stakeholders.
  • Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team's potential solution.
  • Liaise with clinicians to validate model results and to facilitate review and refinement.
  • Define, track, and analyze product performance metrics to drive feature prioritization and demonstrate ROI.
  • Work with internal customers and executive stakeholders to maintain product roadmaps.
  • Follow Agile best practices, including directly leading and guiding a dedicated scrum team of data scientists and software engineers.

Skills

Cross-functional collaboration
Data-driven decision making
Communication
Product management
ML/AI concepts

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field
Master's degree preferred

Tools

MLOps
Data governance

Job description

CVS Health's Analytics & Behavior Change (A&BC) organization is expanding its Product team to deliver AI-powered analytics support for clinicians. As a Senior Technical Product Manager, you will guide data science and engineering partners from inception to production, balancing performance, scalability and clinical impact.

You will work with clinicians, data scientists, and software engineers to define requirements, track metrics, and communicate complex concepts to non-technical stakeholders.

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