Product Manager - Software and Analytics Products

CVS Health•New York, NY

3d•Hybrid

About The Position

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 Science 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 engineering teams with 2+ years’ experience in a Product Management or Technical Product Management role
2+ years’ experience with JIRA and Confluence, particularly with managing support vs development needs, short-term vs long-term roadmaps, and product documentation (PRDs, Business requirements, etc.)
2+ years' experience working with Data Science teams to deliver analytics insights, particularly in framing and contextualizing healthcare analytics
2+ years' experience communicating technical concepts and implications to business stakeholders and customers as well as business concepts and requirements to Data Science, Engineering, and other technical teams
2+ years' experience working with user experience design and testing methodologies
2+ years' experience with stakeholder management across business and technical teams
2+ years' experience with Agile methodologies and software

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
Proven track record managing all aspects of a successful product throughout its lifecycle
Strong verbal and written communication skills
Demonstrated proficiency in SQL (bonus)
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