Product Manager, Data Analytics Products - Pharmaceutical & Life Sciences

CVS Health • New York, NY

3d • Hybrid

About The Position

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary CVS Health's Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth and improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers. The A&BC organization is looking to grow its Product team. 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 Product Manager within A&BC, you will be responsible for leading the end-to-end development and launch of analytics-powered applications for Pharmaceutical and Life Sciences customers. This role requires a strong understanding of product management, data analytics, healthcare data, and technical acumen. The ideal candidate will excel at bridging technical and business perspectives while working effectively with cross-functional teams to bring analytics-focused products to market. Additionally, as a Product Manager you will support the dissemination of best practices (design thinking, agile methodologies and more) to support A&BC in its product transformation. If you are passionate about leveraging data to solve real-world healthcare challenges and thrive in a fast-paced, collaborative environment, we want to hear from you.

Requirements

• 3+ years' experience working cross-functionally with data engineering teams delivering analytics insights, particularly in framing and contextualizing healthcare analytics
• 2+ years' experience in a Product Management, preferably a Technical Product Management role
• 2+ years' experience using JIRA and/or Confluence (or similar tools), with demonstrated proficiency in Agile environments, balancing support vs. development priorities, managing short‑term versus long‑term roadmaps, and producing high‑quality product documentation (PRDs, business requirements, etc.
• 2+ years' experience communicating technical concepts and implications to business stakeholders and customers and business concepts and requirements to Data Science, Engineering, and other technical teams
• 2+ years' experiencein stakeholder management across business and technical teams
• 1+ year experience with user experience design and testing methodologies
• Healthcare industry experience

Nice To Haves

• Experience in or with the pharmaceutical or life sciences industries, with exposure to commercial, clinical, or market access analytics
• Familiarity with medical and pharmacy claims data
• Understanding of data science concepts, and/or exposure to predictive modeling, machine learning, or advanced statistical techniques applied to healthcare datasets (bonus)
• Proven track record of managing all aspects of a successful product throughout its lifecycle
• Strong verbal and written communication skills
• Demonstrated proficiency in SQL
• Experience building workflow applications that leverage GenAI

Responsibilities

• Develop user stories, 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 technical discussions, and helping technical team members to understand users and the business
• Lead the design and development of backend data and analytics pipelines, ensuring scalability, reliability, and performance across enterprise systems
• Deliver customer-facing BI and analytics solutions, enabling actionable insights and data-driven decision-making for stakeholders
• Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability and quality
• Conduct user research and usability testing to inform product decisions and validate hypotheses
• Collaborate with designers to create UX flows, wireframes, and product designs
• Own technical documentation for analytics products, including data flow diagrams, architecture specifications, and analytics methodologies
• Draft, refine, and communicate business cases to key stakeholders to obtain input and buy-in
• Work with end-users, stakeholders, and leadership to continuously evolve product roadmaps
• Identify and mitigate interdependencies proactively
• Champion Agile methodologies and lean practices in product development
• Support the establishment and maintenance of release-management, QA testing, product planning and launch frameworks
• Develop and execute strategies for proactive user support and issue resolution
• Scope and drive improvements to user onboarding and access management systems across the technology stack

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees