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.
Company Overview
CVS Health’s Analytics & Behavior Change (A&BC) organization is dedicated to addressing some of the most pressing challenges at the intersection of technology and healthcare. By leveraging advanced analytics, machine learning, and hypothesis-driven approaches, A&BC transforms data into actionable, customer-centric insights that drive growth and improve health outcomes across all CVS Health businesses. Our teams are building next-generation data and machine learning platforms and software products that empower CVS Health to make healthier happen for over 100 million customers. As part of this transformative journey, we are expanding our Product team to support the commercialization of a suite of analytics products powered by CVS's first-party and third-party data assets, rolling up to Health100, our new AI-native platform.
Position Summary
As a Senior Product Manager within the A&BC organization, you will lead the end-to-end development and launch of analytics-powered applications tailored for pharmaceutical and life science customers. This role requires a strong understanding of product management, data analytics, and healthcare data, along with the ability to bridge technical and business perspectives. You will collaborate closely with cross-functional teams, including business, data engineering, data science, and design, to bring innovative analytics-focused products to market. Additionally, you will play a key role in mentoring junior product managers and contributing to the overall product strategy.
Key Responsibilities:
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Gather requirements from business and clinical teams to inform product development.
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Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to data science and engineering teams.
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Collaborate with data engineering, data science, and design teams to translate requirements into actionable concepts and solutions.
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Lead the design and development of backend data and analytics architecture, ensuring scalability, reliability, and performance.
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Facilitate trade-off discussions among stakeholders, balancing speed, scalability, and quality.
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Conduct user research and usability testing to inform product decisions and validate hypotheses.
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Own technical documentation for analytics products, including data flow diagrams and architecture specifications.
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Communicate effectively with business stakeholders to relay product updates and gather feedback.
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Champion Agile methodologies and best practices in product development.
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Mentor and guide junior product managers, fostering a culture of collaboration and continuous improvement.
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Contribute to the overall product strategy and roadmap, ensuring alignment with business objectives.
Role is based Hybrid (1-2 days / week) in NYC Soho office. Full-time Remote will also be considered.
Required Qualifications
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5+ years of experience in Product Management, with a strong focus on analytics or data-driven products.
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5+ years’ experience demonstrating strong verbal and written communication skills, including the ability to translate complex data and insights into clear, compelling narratives for diverse audiences.
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3+ years’ experience collaborating cross-functionally with engineering and data science teams to deliver impactful analytics tools.
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3+ years’ experience in the pharmaceutical analytics domain, with a solid understanding of healthcare data and analytics workflows.
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3+ years’ experience supporting the development of data visualization tools, with particular emphasis on Tableau.
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3+ years’ experience working in Agile environments, using product management and delivery tools such as JIRA and Confluence.
Preferred Qualifications
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Experience in or with the pharmaceutical or life sciences industry, particularly supporting commercial, clinical, or market access analytics.
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Familiarity with medical and pharmacy claims data and their application in Healthcare analytics.
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Understanding of data science concepts, including predictive modeling and machine learning.
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Demonstrated proficiency in SQL.
Education
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Bachelor’s degree in a STEM field (e.g., Science, Technology, Engineering, Mathematics) is required.
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Master’s degree in Analytics, Data Science, MPH, or MBA) is preferred.
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/01/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
