Well-Being Data & Evaluations Analyst

Michigan Medicine improves the health of patients, populations, and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally, and internationally.

Our mission is guided by our Strategic Principles and has three critical components: patient care, education, and research that together enhance our contribution to society.

The Senior Well-Being Data & Evaluations Analyst will build, maintain, and evaluate AI-assisted database ecosystems to support a high-volume, methodologically rigorous applied/non-academic (~80%) and academic (~20%) research portfolio within the Office of Well-Being. This role focuses on structuring, integrating, and managing complex institutional sources of high-volume longitudinal well-being data, including -- but not limited to -- electronic health records (EHR). This role serves as the data manager for Office of Well-Being-managed data assets, working in close partnership with the Office of Well Being data steward to operationalize stewardship decisions, implement technical specifications, and produce the technical documentation that supports Michigan Medicine's data governance program.

The work aligns with and supports the Office's goal to empower all individuals and teams who investigate, work, and learn at Michigan Medicine to use and build their expertise to drive our purpose of seamlessly advancing healthcare as a team. Specifically, this role will help facilitate the achievement of one of the Office of Well-Being's key goals, which is to evaluate healthcare workforce technologies, AI-enabled systems, organizational interventions, and other human-centered technologies for their ability to improve the well-being of the healthcare workforce.

The individual will work with minimal supervision and exercise independent judgment in workforce data infrastructure, management, analytics, and reporting. This position partners closely with investigators, analysts, and clinical teams to produce actionable insights and ensure data integrity, accessibility, and alignment with research and operational objectives and stakeholder needs. Assignments are broad in scope and require originality, ingenuity, and independent decision-making.

Data Infrastructure, Design & Management (40%)

• Evaluate and design database structures to support research and operational data needs for the Office of Well-Being, including informing strategic leadership decisions
• Design and maintain data infrastructure using EHR and institutional data sources, particularly those aimed at evaluating AI functionalities
• Translate operational workflows into structured data elements
• Design and maintain processes for data extraction, transformation, and storage
• Build and maintain data pipelines for large, complex datasets
• Perform data cleaning, validation, and reconciliation across multiple sources
• Ensure data quality, integrity, and compliance with institutional and regulatory standards
• Conduct ongoing validation of data infrastructure to ensure accuracy and usability, inclusive of data dictionaries and data flow diagrams
• Create and maintain technical documentation for Office of Well-Being-managed data assets in collaboration with the Office of Well-Being data steward, including data dictionaries, logical and physical data models, pipeline documentation, and lineage maps. Document the authoritative sources for the Office of Well-Being managed datasets
• Support the Office of Well-Being data steward in maintaining Office of Well-Being-managed data assets in the institutional data asset catalog
• Work with the Office of Well-Being data steward to identify and define critical data elements, terms, and metrics for Office of Well-Being-managed data assets, and ensure data steward-approved definitions are submitted to and maintained in the enterprise data glossary
• Collaborate with data infrastructure teams (DBAs) on system availability, maintenance, and disaster recovery for Office of Well-Being-managed data assets

Analytics & Statistics (25%)

• Develop and direct AI-assisted analytic workflows with validated scientific rigor for current-state evaluation of well-being across institutional populations, including faculty, staff, and learner communities, using multiple data sources with an emphasis on statistical analysis of EHR and operational healthcare data
• With the support of AI tools, deploy statistical and analytical methods for evaluating healthcare technologies and AI-enabled interventions, including:1) multivariable regression modeling,
  2) longitudinal and mixed-effects modeling,
  3) causal inference methods for observational healthcare data,4) quasi-experimental evaluation designs, and
  5) machine learning evaluation, validation, and calibration
• Prepare analysis-ready datasets in collaboration with other technical staff, faculty investigators, and stakeholders, including senior MM leadership
• Support transparent and…