AI-Powered Healthcare Analytics Product Lead

NCSL International; Lincoln (NE); On-site; USD 107,000 - 284,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health’s Analytics & Behavior Change (A&BC) organization is expanding its Product team to deliver AI-powered analytics supporting clinicians. The Senior Technical Product Manager will lead inception to production of AI/ML products, working with data scientists and engineers to drive value and ROI.

The role emphasizes data literacy, MLOps, and integration with clinical workflows, with collaboration across data science, engineering, and leadership teams in a fast-paced 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. 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

AI/ML

Product management

Data science

Cross-functional collaboration

MLOps

Threshold tuning

Statistical risk management

Healthcare data

Education

Bachelor's degree

Master's degree

Job description

CVS Health’s Analytics & Behavior Change (A&BC) organization is expanding its Product team to deliver AI-powered analytics supporting clinicians. The Senior Technical Product Manager will lead inception to production of AI/ML products, working with data scientists and engineers to drive value and ROI.

The role emphasizes data literacy, MLOps, and integration with clinical workflows, with collaboration across data science, engineering, and leadership teams in a fast-paced environment.