Senior Product Manager
Quick Summary
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®,
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.
Within the data science department (“Analytics & Behavior Change”), you’ll have the opportunity to drive the next level of PBM (Pharmacy Benefit Manager) member experience and service quality at a leading national healthcare brand.
We’re looking for aspiring analytical enthusiasts to drive efficiency and growth in Caremark's PBM business. You will partner with product owners, product leaders, and cross-functional stakeholders from ideation through execution to shape analytics product vision, validate opportunities, and define scalable solution approaches.
- 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.
- Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement.
- Stay current on emerging trends in analytics, data platforms, AI/ML, and digital technologies, and identify opportunities to apply them across lines of business.
- Demonstrate strong executive communication, stakeholder management, and client-facing skills to influence decisions, build alignment, and drive adoption.
- Evaluate and introduce new tools, frameworks, and methodologies that improve analytics product delivery, insight generation, and innovation across teams.
Requirements
~1 min read- 7+ years’ experience in Product Management or Technical Product Management role
- 5+ 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 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
- 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
- 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
The typical pay range for this role is:
$106,605.00 - $284,280.00What We Offer
~1 min readWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Location & Eligibility
Listing Details
- Posted
- September 22, 2026
- First seen
- September 27, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 1
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- September 29, 2026
Signal breakdown
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