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Chase · 1 week ago

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

237 Park Ave, New York, NY, 10017, US

Full-time

Onsite

Mid, Senior Level

$128K/yr - $205K/yr

7+ years exp

Chase is launching Morgan Health, a new business unit focused on improving health care quality and affordability. The Vice President of Health Care Analytics Engineering will lead the development and execution of a scalable data warehouse, leveraging health care data modeling to support the organization's mission.

BankingFinancial Services

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

Qualification

Health care data modelingData warehousing conceptsETL processesPythonSQLData martsData quality principlesDatabricksTechnical documentationCommunication skillsTeam collaborationProblem-solving

Required

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

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 standardizations, groupers, data transformations (e.g., TUVA) and logic (e.g., HEDIS rules)

Hands-on experience with Databricks or similar technologies

Proven experience in developing and managing health care claims warehouses in a payer or care delivery setting

Background in creating data infrastructure and transformations that support value-based care contracting and reconciliation processes

Proven ability to successfully multitask effectively, balance competing priorities, and design creative solutions

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