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.
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 driving growth, health outcome improvements, 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 supporting Clinical Data Science & Analytics. 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 consumer healthcare in the U.S.
As a Product Manager within A&BC, you will be responsible for contributing to the development and launch of data & analytics powered insights. This role requires a strong understanding of product management, data analytics, and business strategy. The ideal candidate will be able to work effectively with cross-functional teams to bring clinical data-driven insights 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 digital transformation.
Responsibilities
• Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, 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
• Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, and quality
• Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses
• Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization
• Draft, refine and communicate business cases to key stakeholders to obtain input and buy-in
• Work with internal customers, end users, and other stakeholders to maintain product roadmaps
• Skillfully manage and align diverse stakeholder interests, ensuring clear communication and collaboration to achieve consensus and drive product initiatives forward
• Clarify and coordinate dependencies with other product teams and stakeholders, and mitigate the risks and dependencies proactively
• Support the establishment and maintenance of release-management, product planning and launch frameworks
• Demonstrate and support dissemination of best practices for product management, product development, release management and user support
• Champion Agile methodologies and lean practices in product development
Required Qualifications
• 3+ years’ experience working cross-functionally with Engineering or Data Science teams and familiarity with Data Science concepts
• 1-2 years’ Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers)
• Strong experience with data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value
• Demonstrated ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes
• Demonstrated ability to communicate (oral and written), with experience in 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
• Familiar with user experience design and testing methodologies
• Experience in stakeholder management
• Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle
• Ability to drive outcomes in a complex environment and navigate ambiguity
Preferred Qualifications
• Proven track
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