Senior Product Manager

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 a hypothesis-driven approach to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our data teams build next generation data and machine learning platforms and products in the cloud that help power CVS Health to make healthier happen for 100+ million customers.

The A&BC organization is looking to grow its Strategy & 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 consumer healthcare in the U.S. As a Senior Product Manager within A&BC, you will be responsible for leading the development and launch of analytic powered applications for internal and external users. 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 data-driven products to market. Additionally, as a Senior 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
• Collaborate with designers to create UX flows, wireframes and product designs
• 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 customers, end users, GTM and other stakeholders to continuously evolve the roadmap
• 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
• Develop and execute strategies for proactive user support and issue resolution
• 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

• 4+ years' experience working cross-functionally with Engineering teams
• 3+ years' Product Management or Product Management-adjacent experience (Closely partnering with Engineers)
• 3+ years' experience communicating technical concepts and implications to business stakeholders and customers as well as business concepts and requirement to Data Science, Engineering, and other technical teams
• 3+ years' experience working with user experience design and testing methodologies
• 3+ years' experience in stakeholder management
• 3+ years managing all aspects of a successful product throughout its lifecycle
• 2+ years' experience working with Data Science concepts
• 2+ years' experience driving outcomes in a complex environment

Preferred Qualifications

• Proven track record of managing all aspects of a successful analytics product throughout its lifecycle in Enterprise products context
• Deep knowledge of various types of healthcare data, including strong grasp of data nuances, common use cases, and limitations, with experience in common analytics tools
• Demonstrated ability to succeed in a complex environment and influence adoption of new thinking and find innovation opportunities
• Strong interest in the Healthcare and Pharmaceutical sector

Education

• Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field