Position SummaryCVS 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 quickly transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all of our businesses in CVS Health. We are responsible for understanding the data flow from a business perspective to create a solution architecture to model the business. Our data teams build next-generation data and machine learning platforms and AI products in the cloud that help power CVS Health to make healthier happen for 100+ million customers.
If you're excited about using data science and AI to improve member health outcomes while delivering meaningful value for Aetna, Smart Care offers a unique opportunity to do both. Smart Care builds intelligent, personalized solutions that help identify the right opportunities for our members and enable care teams to take the right actions at the right time. The work spans LLMs, causal inference, deep learning, and deep analytical problem-solving to turn complex clinical and behavioral data into actionable insights and scalable solutions.
As the Smart Care Squad Lead and Product Manager, you'll operate at the intersection of product sense, technical acumen, stakeholder leadership, and user-centered solution design-shaping strategy, driving execution, and translating complex healthcare problems into solutions that improve member outcomes and drive measurable business value.
If building products that help our members while advancing our organizational goals excites you, we'd love to have you help shape the next chapter of Smart Care.
Responsibilities:
What
- Responsible for timebound delivery of Smart Care solutions to delivery on business value, converging business and technical perspectives to accelerate design decision.
- Create clarity around priorities, expectations, and shared outcomes for the Squad.
- Own the product backlog, facilitate problem solving, scoping, and prioritization, balancing near-term commitments with longer-term value. Run day-to-day planning and ceremonies, and champion Agile practices. Clarify and coordinate dependencies with other teams and stakeholders.
- Collaborate tightly with squad technical captains to create 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 feasibility discussions, and helping them to understand users and the business needs.
- Facilitate problem solving across teams, factoring in trade-offs between speed, scalability and quality.
- Align delivery plan to adjacent solutions to capture cross-portfolio value.
- 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.
- Support the establishment and maintenance of release-management frameworks.
- Develop and execute strategies for proactive user support and issue resolution.
- Support business case development and roadmap planning with stakeholders and leadership.
How
- Demonstrate strong executive communication, stakeholder management, and client-facing skills to influence decisions, build alignment, and drive adoption.
- Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement.
- Stay current on emerging trends in analytics, data platforms, AI/ML, and digital technologies, and identify opportunities to apply them across lines of business.
- Facilitate continuous improvement in product planning, execution and launch processes.
- Champion Agile methodologies and lean practices in product development.
- Evaluate and introduce new tools, frameworks, and methodologies that improve analytics product delivery, insight generation, and innovation across teams.
Required Qualifications- 7+ years' experience in Product Management or Technical Product Management role.
- 5+ years' experience running the day-to-day product execution with Data Science and/or Engineering teams.
- 3+ years' experience working with SMEs to uncover nuances in ambiguous business problems and operational processes.
- 3+ years' experience with stakeholder management.
- 3+ years' demonstrated ability to drive outcomes in a complex environment.
- 2+ years' experience building capabilities that leverage AI, ML or other advanced analytics.
Preferred Qualifications- Strong verbal and written communication skills.
- Self-starter interested in leveraging new AI tools and technologies to improve productivity and new ways of working.
- Excellence in prioritization and aligning senior stakeholders on a unified vision.
- Strong Excel/SQL/analytics/Storytelling capability.
- Proven track record of managing all aspects of a successful product throughout its lifecycle, especially in taking a product from concept through launch.
Education- Bachelor's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field required.
- Master's degree preferred.
Pay RangeThe typical pay range for this role is:
$118,450.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
