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Morgan Health - Health Care Innovation - Vice President of Health Care Analytics Engineering

Job in New York, New York County, New York, 10261, USA
Listing for: J.P. Morgan
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

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 based in New York City and Boston.

To learn more about our strategy and latest developments, please visit:

Role

As a Vice President of Health Care Analytics Engineering within Morgan Health, you will utilize deep experience with data warehouses, transformations, and product design thinking to evolve and execute a scalable data warehouse for the Morgan Health team. In this role, you will leverage expertise in health care data modeling — ideally across health care claims data, survey data, biometrics data and industry-standard groupers — to propose and implement new data marts, logic, and measures for use by the team’s data scientists.

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
  • Facilitate product design sessions with data scientists end users to comprehensively and effectively capture requirements related to their business cases
  • Design and implement health care data modeling solutions such as data marts within Morgan Health’s analytics environment
  • Develop and maintain robust testing framework and test code to ensure data products match established requirements as new data are delivered
  • Become a subject matter expert on Morgan Health’s data sources: understand their context, limitations, and maintain data lineage documentation and data catalog to promote transparency for data scientist 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 and engineering team to ensure data are accurately processed, cleaned, and integrated into the production warehouse through clear requirements
  • Ensure Morgan Health’s data warehouse adheres to all data privacy standards, regulations and industry standard data governance practices
  • Participate in code reviews with both engineers and data scientists, advising on and adhering to coding standards and best practices
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
  • Proven track record of creating and maintaining data models, data marts, and ETL processes to deliver creative solutions that meet competing business needs
  • Strong understanding of health care data warehousing concepts, data modeling techniques, and data quality principles
  • Hands-on experience with dbt and common coding languages such as Python, R, and SQL
  • Experience developing technical documentation and requirements for data or software engineering teams to implement
  • Team-oriented attitude with excellent communication skills and the ability to collaborate effectively with cross-functional teams
Preferred Qualifications , Capabilities, and Skills
  • Master s degree or PhD in a quantitative field such as Computer Science, Information Systems, Engineering, or a related discipline
  • Subject matter expertise in medical and pharmaceutical claims data, including familiarity with common coding standards and…
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