Senior AI/ML Analytics Product Lead

CVS Health

City of Albany (NY)

On-site

USD 107,000 - 284,000

Full time

14 days+

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Job summary

CVS Health’s Analytics & Behavior Change group seeks a Senior Technical Product Manager to lead AI-powered analytics for clinician support. You will collaborate with data scientists and ML engineers to translate requirements into production features and to validate business value across clinical workflows.

You’ll guide data-driven decision making, align go‑live timelines, and drive product performance with stakeholders, while applying Agile practices within a fast‑paced, health‑tech environment.

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 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.
Facilitate problem solving and prioritization across teams, factoring in trade‑offs between speed, scalability, accuracy, and quality.
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.