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 a hypothesis-driven approaches 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 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.
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, AI/ML, 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.

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 internal customers, end users, GTM 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

• 4+ years’ experience working cross-functionally with Engineering or Data Science teams and familiarity with Data Science concepts
• 3+ years’ Product Management or Technical Product Management-(Closely partnering with Data Scientists and Engineers)
• 3+ years’ experience in developing E2E products that have complex AI/ML and Analytics requirements
• 3+ years’ experience with complex stakeholder management, driving consensus and outcomes while fostering collaborative decision-making processes
• 3+ years’ experience communicating (oral and written) 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 managing all aspects of a successful product throughout its lifecycle and driving outcomes in complex environment
• 2+ years’ experience working with Agile methodologies and software

PREFERRED QUALIFICATIONS

• Proven track record of managing all aspects of a successful analytics product throughout its lifecycle
• 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 sector

EDUCATION

• Bachelor’s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field required
• Master’s degree preferred

• 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 internal customers, end users, GTM 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 developmen