Senior Product Manager - Patient Data Warehouse

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 & AI. 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 – Patient Data Warehouse, you will be responsible for the evolution of and engagement with CVS Health’s clinical and claims data repository. You will support the design and implementation of a patient-centric data warehouse that will be queried directly by end users. You will serve as the point-of-contact between analysts, data scientists, and business partners who consume our patient data to ensure data is accessible, well-documented, fit for purpose, and aligned with clinical and regulatory standards, and to evaluate, prioritize, and generalize stakeholder requests and feedback from consumers across CVS Health.  

Responsibilities: 

• Develop feature KPIs that are aligned with the overall program KPIs and ensure metrics tracking; use data to drive feature prioritization and alignment with stakeholders on value and prioritization. 

• Work closely with clinical informaticists, data & decision scientists, and data engineers on the design, development, and deployment of the patient data warehouse.  

• Communicate with and triage feedback from consumers across CVS’s Healthcare Business and Healthcare Delivery Business; prioritizing based on impact, lift, and generalizable utility. 

• Develop and deliver training, presentations, and consultations to existing and prospective data consumers on clinical data assets, their appropriate use, and analytics opportunities. 

• Hands-on interactions with stakeholders that include, but are not limited to, customer onboarding, technical deep-dives, feature enhancement request conversations, reviewing gap analyses, and aligning on requirements.   

• Facilitate cross-team hand-offs including documentation, end-to-end QA planning, and validation. 

• Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams. 

• Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration.  

• Analyze product performance metrics, identifying opportunities for improvement and optimization. 

• Clarify and coordinate dependencies with other product teams and stakeholders and mitigate the risks and dependencies proactively. 

• Follow agile best practices including but not limited to working with and leading a scrum team.  

Required Qualifications 

• 5-7 years of overall work experience. 

• 2+ years of Product Management experience. 

• 1+ year(s) of experience working on a data platform.  

• Strong experience 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, as well as business concepts and requirements to Data Science, Engineering, and other technical teams. 

• Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle, including end user satisfaction and engagement.  

• Ability to drive outcomes in a complex environment and navigate ambiguity. 

Preferred Qualifications 

• Experience building a data platform based on healthcare (clinical and claims) data.  

• Knowledge of clinical coding systems like OMOP and familiarity with terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm. 

• Familiarity with AI including small language models, large language models, prompt engineering, and machine learning. 

• Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry. 

Education 

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