Chief Healthcare Data Officer (CHDO) - University of Utah Health
About The Position
The Chief Healthcare Data Officer (CHDO) is an executive leadership role in the University of Utah Health System responsible for the enterprise data ecosystem that enables trusted, secure, and scalable use of data across University of Utah Health. The CHDO establishes the strategy, architecture, governance, and operating model for health system data so it can be reliably used for analytics, insight generation, and responsible AI. The CHDO leads modernization and stewardship of core data platforms and services—including data warehousing, lakehouse and data fabric technologies, integration and interoperability, master and reference data, metadata, and data engineering services. The overall goal is to deliver trusted, reusable data resources and services—developed in partnership with stakeholders across clinical, financial, operational, and research domains—that advance the strategic priorities of Health Sciences. This role is intentionally complementary to the Chief Analytics and Health Insight Officer (CAHIO). The Chief Healthcare Data Officer (CHDO) partners closely with the CAHIO to ensure that enterprise analytics, insights, and AI initiatives are built on a strong, trusted data foundation. The CHDO leads how data is sourced, governed, engineered, and made reliable at scale, while the CAHIO leads how analytics and insights are prioritized, developed, and applied to inform decisions. Together, these roles create an integrated model in which high-quality, well-governed data enables timely, impactful insights and confident decision-making across the health system. This position does not provide patient care. Qualified candidates must have: Bachelor’s degree in computer science, information systems, engineering, data science, or a related field (or equivalent experience). Ten or more years of progressively responsible experience in enterprise data management, data platforms, or information management. Five or more years of senior leadership experience leading cross‑functional teams and enterprise‑wide data initiatives. Demonstrated experience in data governance, data quality, integration, and operating model design. Healthcare or other highly regulated industry experience.
Requirements
- Bachelor’s degree in computer science, information systems, engineering, data science, or a related field (or equivalent experience).
- Ten or more years of progressively responsible experience in enterprise data management, data platforms, or information management.
- Five or more years of senior leadership experience leading cross‑functional teams and enterprise‑wide data initiatives.
- Demonstrated experience in data governance, data quality, integration, and operating model design.
- Healthcare or other highly regulated industry experience.
Nice To Haves
- Experience modernizing enterprise data platforms (cloud data warehousing/lakehouse, integration platforms, metadata and master data management).
- Experience in an academic health system environment that includes clinical care, education, and research.
- Strategy, technology, or management consulting experience supporting enterprise data transformations.
Responsibilities
- Enterprise Data Architecture
- Data Platform Roadmap and Integration
- Enterprise Data Operating Model
- Centralized Data Engineering and Data Management Services
- Data Governance, Quality, and Stewardship
- Privacy, Security, Compliance, and Audit Readiness
- Secure External Data Enablement and Exchange
- Responsible Data Use and AI Readiness
- Value Realization and Executive Partnership
- Partnership with the Chief Analytics and Health Insight Officer
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Executive
Number of Employees
5,001-10,000 employees
