In 2021, JPMorgan Chase launched Morgan Health, a new business unit focused on improving the quality, equity, and affordability of employer-sponsored health care in the United States. Morgan Health pursues this strategy through investments, collaborations with the JPMC Benefits team, engagements with other market leaders, sophisticated data analytics and research, and policy advocacy. Morgan Health is headquartered in Washington, DC, with members of the team also based in New York City and Boston. To learn more about our strategy and latest developments, please visit: www.morganhealth.com.

As a Vice President of Health Care Analytics Engineering within Morgan Health, you will utilize your deep experience with health care claims warehouses, data transformations, and product design thinking to evolve and execute a scalable data strategy for the Morgan Health team. In this role, you will leverage your expertise in medical and pharmaceutical claims data, survey data, biometrics data and industry-standard groupers to propose relevant solutions (ex. new data marts, logic/measures, imputations, etc.) that enable a range of business use cases. You will lean into your skills as a motivated problem-solver, team collaborator, and clear communicator to play a crucial role in progressing Morgan Health's mission to improve health care for JPMC health plan members and across employer-sponsored insurance.

Job Responsibilities: 

Maintain a holistic view of the internal health care warehouse semantics layer and effectively prioritize improvements and expansions with an eye toward scalability Design and mockup analytic solutions such as data marts, and metrics with core business logic, etc. within the team’s analytics environment to support Morgan Health use cases Validate the proposals with stakeholders on Morgan Health and translate into clear technical requirements for the data engineering team Develop testing framework and test code to ensure data products match established requirements Become a subject matter expert on Morgan Health’s data sources: understand their context, limitations, and maintain data lineage documentation to promote transparency for end users Leverage familiarity with health care data to proactively investigate, identify root causes, and address data quality issues to ensure Morgan Health produces accurate and reliable insights Scope and manage new data ingestions in collaboration with upstream data providers: planning data transformations, integration, and validation processes Collaborate with the engineering team on their design, build, and optimization of data pipelines and ETL workflows to ensure data are accurately processed, cleaned, and integrated into the production warehouse Support data governance efforts, ensuring alignment with all data privacy standards and regulations Participate in code reviews, advising on and adhering to coding standards and best practices Participate in daily huddles, project planning, and demo sessions with the Morgan Health data science and research team to gain a comprehensive understanding of Morgan Health use cases Keep up to date with industry trends in health care technology, data science, and artificial intelligence, and apply this knowledge in daily work

Required Qualifications, Capabilities, and Skills

Bachelor’s degree in a quantitative field such as computer science, information systems, engineering, or a related discipline 7+ years of professional experience (or 5+ years of professional experience + related graduate degree) in data engineering, analytics engineering or product design thinking with a strong emphasis on health care data Subject matter expertise in medical and pharmaceutical claims data, including familiarity with common coding standards and standardizations, groupers, data transformations (e.g., TUVA) and logic (e.g., HEDIS rules)  Strong understanding of data warehousing concepts, data modeling techniques, and data quality principles Proficiency in creating and maintaining data models, data marts, and ETL processes Proven ability to successfully multitask effectively, balance competing priorities, and design creative solutions Team-oriented attitude with excellent communication skills and the ability to collaborate effectively with cross-functional teams Hands-on experience with coding languages such as Python, R, and SQL, as well as data engineering tools including Databricks and dbt Experience developing technical documentation and requirements for data or software engineering teams to implement

Preferred Qualifications, Capabilities, and Skills

Master's degree in a quantitative field such as Computer Science, Information Systems, Engineering, or a related discipline Proven experience in developing and managing multiple health care claims warehouses across various sizes and platforms Strong background in creating data infrastructure and transformations to support value-based care contracting and reconciliation processes Expertise in implementing AI solutions, including LLM and Copilot, modernizing technology stacks, and enabling reporting through business intelligence and data visualization tools Ability to work directly with non-technical business stakeholders to effectively communicate strategy and understand their needs