Executive Director, Data & Analytics

Position Summary

The Executive Director of Data & Analytics is responsible for directing the strategy, delivery, and ongoing operations of enterprise data and analytics services that support the clinical, administrative, academic, and research missions of University of Iowa Health Care. This role ensures that data platforms, analytics services, and governance practices are reliable, secure, scalable, and delivered in a compliant, cost-effective, and service-oriented manner.

The Executive Director provides leadership for an established division responsible for data architecture, data integration, analytics development, business intelligence, and advanced analytics. The role ensures enterprise data assets are effectively managed, protected, and leveraged to support high-quality decision‑making across UI Health Care.

• In partnership with the CHIO and Chief Information Digital Office (CIDO), provide strategic, administrative, and operational leadership for enterprise data and analytics staff supporting data architecture, integration, reporting, analytics, and advanced modeling across the organization.
• Direct the ongoing development, maintenance, and optimization of enterprise data platforms, including data warehouses, data lakes, data marts, and analytics environments, ensuring availability, integrity, and enterprise-wide reporting consistency.
• Lead evaluation of new data and analytics technologies, tools, and data sources to assess functionality, architectural alignment, regulatory compliance, and organizational risk; identify and mitigate risks as appropriate.
• Coordinate staff and resources within the Data & Analytics division and partner with HCIS and Carver College of Medicine peer divisions, ITS, OneIT, and operational and research departments to align priorities, optimize workload, and support timely project delivery.
• Engage clinical, administrative, operational, and research stakeholders to understand analytic needs and collaborate on enterprise strategies, initiatives, and service improvement efforts.
• Evaluate utilization and effectiveness of existing analytics services, enhance service models, and oversee development of training and educational resources to improve user adoption and data literacy.
• Assist in the development and execution of near‑term and long‑term roadmaps for the Data & Analytics division aligned with HCIS and enterprise strategic goals.
• Develop and direct teams of advanced analysts supporting clinical and operational decision‑making, quality improvement initiatives, performance monitoring, and regulatory reporting.
• Collaborate with others to create an environment enabling data democratization, data science insights, and self‑service for both operations and research.
• Define, manage, and advance data governance and information management practices, in partnership with legal, compliance, and information security offices, to ensure responsible stewardship of sensitive institutional data.
• Partner with other members of the CHIO office to further enable data‑based decision making in clinical domains through the use of conventional analytics, dashboarding, and advanced predictive and prescriptive analytics.
• Partner with the CHIO and CIDO to support budget planning and financial management related to staffing, tools, training, and enterprise data platforms.
• In partnership with CHIO and CIDO, support collaboration with the Carver College of Medicine, enabling secure and compliant access to data for research and translational use in support of UI Health Care’s learning health system.
• Partner with members of the Chief Financial Officer’s and Chief Physician Executive’s offices to develop revenue cycle, charge capture, population health/value‑based contract, and financial performance analytics.
• Translate institutional goals into actionable work plans, delegate authority appropriately, and ensure accountability for staff performance, service delivery, and project outcomes.
• Represent HCIS and UI Health Care data and analytics interests on enterprise committees, advisory groups, and with external partners as assigned.
• Monitor staff productivity, service quality, and…