Senior Associate Dean AI and Health Data Science

Position: Senior Associate Dean for AI and Health Data Science
University of Colorado Anschutz

Department:
School of Medicine, Office of the Dean

Job Title:

Senior Associate Dean for AI and Health Data Science

Position #

- Requisition #40183

Job Summary:

The Senior Associate Dean for AI and Health Data Science provides strategic leadership for artificial intelligence, data governance, and health data science across the University of Colorado School of Medicine. Reporting to the Dean, this role leads the development and execution of the School's AI and data strategy; advances AI-enabled innovation across research, clinical care, education, and operations; and aligns institutional efforts with health system and university partners.

The Senior Associate Dean oversees a portfolio of data, informatics, and information units; builds shared services and capabilities that support faculty, learners, and leaders; and promotes the responsible, equitable, and effective use of AI. This role will shape how AI and health data science strengthen academic medicine, improve care and learning, and expand the School's institutional impact.

Key Responsibilities

Strategy and Vision

* Develop and execute the School's long-term enterprise AI roadmap across research, clinical care, education, and business operations.

* In partnership with the respective School leaders, integrate data science, machine learning, and generative AI literacy into undergraduate and graduate medical education, ensuring physicians understand both the promise and limitations of AI.

* Guide the School's transition from dashboard-based reporting to AI-enabled and agentic decision support for departmental and school leadership.

* Drive AI-enabled transformation of administrative, academic, and operational workflows across all mission areas.

* Establish data and AI readiness standards for data quality, interoperability, and documentation to support trustworthy institutional use.

* Define and report metrics that demonstrate the value and impact of the School's AI and data investments.

* Partner with advancement leadership to shape AI- and data-focused philanthropic priorities, donor engagement strategies, and major-gift proposals.

Portfolio Leadership and Operations

* Under the direction of the Vice Chancellor of Health Affairs, provide oversight of Health Data Compass, the Colorado Center for Personalized Medicine, and School of Medicine Information Services, ensuring operational excellence, sustainability, and service quality.

* Align data engineering, AI/ML, informatics, and analytics capabilities as an integrated portfolio of shared services for the School and its departments.

* Oversee the development, technical validation, and pilot deployment of machine learning and deep learning tools within Electronic Health Record environments and clinical workflows, including predictive clinical decision support.

* Working with key leaders in various School units, enable AI-ready access to School business data, including finance, human resources, grants, space, and operations, to support faster and better-informed decisions.

* Steward the biobank, enterprise data warehouse, and related data assets as a coordinated portfolio that advances research, innovation, and commercial partnerships.

* Recruit, develop, and retain high-performing teams and technical talent across the School's AI and data portfolio.

* Support departments in recruiting AI- and data-intensive faculty by bringing technical expertise to candidate evaluation and strategic hiring decisions.

* Establish governance structures, compliance frameworks, and operational guardrails that support secure, ethical, balanced, and responsible AI use, with attention to data privacy, bias mitigation, and evolving regulatory requirements.

Partnerships, Enablement, and Stakeholder Engagement

* Partner with the Dean/Vice Chancellor for Health Affairs, Executive Vice Deans and School leaders to advance the application of AI in clinical care, quality, and health system performance.

* Partner with education leadership to build AI and data literacy and strengthen capability among faculty, staff, trainees, and students.

* Lead workshops, training programs, and communities of practice that build…