Senior Technical Product Manager – AI / ML

Quick Facts

• Role: Senior Technical Product Manager (Analytics & Behavior Change)

• Focus: AI-powered analytics product management supporting Aetna clinicians

Description

The Analytics & Behavior Change organization builds advanced analytics, machine learning, modeling, and hypothesis-driven approaches to turn data into actionable insights. This role contributes to creating, launching, and maintaining AI-powered analytics support for clinicians, requiring strong Product Management plus Machine Learning and AI-powered insights acceleration knowledge. The product works with data scientists and machine learning engineers to move clinical-data/AI-ML products from inception to production.

Responsibilities

• Create product requirements documents, acceptance criteria, and detailed product specifications
• Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical teams understand end users and the business problem
• Facilitate problem solving and prioritization across teams, considering trade-offs between speed, scalability, accuracy, and quality
• Participate in technical details during discovery and while supporting trade-off decisions
• Facilitate cross-team hand-offs and define data SLAs and interface contracts
• Develop go-live timelines and align timelines and scope with multiple developer teams and stakeholders
• Work with clinicians and operations to confirm business value, inform problem statements, and quantify value
• Liaise with clinicians to validate model results and 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; directly lead and guide a dedicated scrum team of data scientists and software engineers

Requirements

• 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 partnering with Data Scientists and Engineers
• 2+ years’ experience with AI, data analytics, data products, and/or complex analytics using clinical or claims data
• 2+ years demonstrating ability to operate effectively in a complex stakeholder environment; drive consensus
• 2+ years communicating (oral and written) with experience explaining technical concepts to business stakeholders, including clinicians
• 2+ years supporting and managing products throughout the full lifecycle; track record of successful product delivery; understanding of QA methodologies and best practices
• 2+ years driving results in complex, fast-paced environments; navigate ambiguity; influence stakeholders; deliver business outcomes
• Bachelor’s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or related field (required)

Preferred Qualifications

• Familiarity with MLOps including model monitoring, data/concept drift detection, and threshold calibration
• Familiarity with healthcare data interoperability standards
• Deep knowledge of healthcare data, including clinical/claims data for longitudinal patient views or AI-driven clinical insights
• Strong interest in the Healthcare sector
• Technical product management experience and/or experience with general AI/machine learning teams

Education

• Master’s degree preferred

Benefits

• Eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range
• Eligible for an award target in the company’s equity award program
• Comprehensive benefits package: medical, dental, and vision coverage; paid time off; retirement savings options; wellness programs; and other resources based on eligibility