Senior AI Analytics Product Manager – Health Tech

CVS Health; Montgomery (AL); On-site; USD 107,000 - 284,000; Full time

Job summary

CVS Health's Analytics & Behavior Change (A&BC) organization is growing its Product team to advance AI-powered analytics supporting clinicians. You will partner with data scientists and ML engineers to turn clinical data into production-ready insights.

This Senior Technical Product Manager will own requirements, drive go‑live plans, and monitor metrics to deliver value across data science, engineering, and clinical operations in a healthcare setting.

Qualifications

• 5+ years of overall work experience.
• 3+ years cross‑functional with ML Engineering and Data Science.
• 2+ years Product Management or related experience partnering with Data Scientists and Engineers.
• 2+ years experience with AI, data analytics, data products, and/or complex analytics using clinical or claims data.

Responsibilities

• Create product requirements and acceptance criteria for Data Science, Engineering, and Leadership teams.
• Clarify requirements and facilitate technical discussions with the end users and business problem.
• Balance speed, scalability, accuracy, and quality in trade‑offs during discovery and implementation.
• Define data SLAs and interface contracts with upstream and downstream teams.
• Develop go‑live timelines with core data science and engineering partners; align with multiple teams.
• Track product performance metrics to demonstrate ROI and inform roadmaps.

Skills

Cross-functional collaboration

Communication skills

Data literacy

AI/ML awareness

Problem solving

Education

Bachelor's degree in CS or related field

Master's degree preferred

Job description

CVS Health's Analytics & Behavior Change (A&BC) organization is growing its Product team to advance AI-powered analytics supporting clinicians. You will partner with data scientists and ML engineers to turn clinical data into production-ready insights.

This Senior Technical Product Manager will own requirements, drive go‑live plans, and monitor metrics to deliver value across data science, engineering, and clinical operations in a healthcare setting.