Senior Product Manager - AI and Analytics
Listed on 2026-05-15
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
PositionSummary
Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in healthcare in the U.S.
As a Senior Product Manager, you will be responsible for leading the development and launch of AI and advanced analytics powered capabilities and applications for internal users. This role requires a strong understanding of product management, data analytics, software applications, and business strategy. The ideal candidate will work effectively with cross-functional teams to bring analytics-focused products to production and scale. Additionally, as a Senior Product Manager, you will support the dissemination of best practices (design thinking, agile methodologies and more) to support A&BC in its product transformation.
Responsibilities- Manage a mix of senior stakeholders to align on priority and goals, balancing interests across various stakeholders
- Conduct user research, SME interviews, and cross functional stakeholder alignment to align on business needs and requirement
- Develop functional requirements, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams
- Support engineering and data science teams to implement features by clarifying requirements, facilitating squad ceremonies, and helping technical team members ground on users and business needs
- Manage product backlog, facilitate problem solving, scoping, and prioritization
- Run day-to-day planning and ceremonies, and champion Agile practices
- Clarify and coordinate dependencies with other teams and stakeholders
- Define, monitor and analyze user feedback and product performance metrics, identifying opportunities for improvement and optimization
- Work with end-users, stakeholders, and leadership to continuously evolve the product roadmap
- Demonstrate and support dissemination of best practices for product ways of working and champion change management
- 3+ years’ experience in Product Management or Technical Product Management role
- 3+ years’ experience running the day-to-day product execution with Data Science and/or Engineering teams on the ground
- 3+ years’ experience working with SMEs to uncover nuances in ambiguous business problems, operational processes
- 3+ years’ experience with stakeholder management
- 3+ years’ demonstrated ability to drive outcomes in complex environment
- 2+ years’ experience working with Agile methodologies
- 2+ years’ experience building capabilities that leverage AI, ML or other advanced analytics
- Strong verbal and written communication skills
- Self-starter interested in leveraging new AI tools and technologies to improve productivity and new ways of working
- Excellence in prioritization and aligning senior stakeholders on a unified vision
- Experience with healthcare operations (e.g., payor, provider), healthcare technology, or other enterprise workflow tools in non-healthcare domains
- Experience with user adoption strategies and change management for frontline operations teams
- Strong Excel/SQL/analytics/Storytelling capability
- Proven track record of managing all aspects of a successful product throughout its lifecycle, especially in taking a product from concept through launch
- The ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry
- Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, Economics or a related quantitative field
- Master’s degree or MBA preferred
$ - $
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