Director of REAL Health AI

Summary:

The Director is responsible for timeline, deliverable, and stakeholder management across the UT-REAL-Health AI initiative. The ultimate deliverables are the creation of a comprehensive AI model inventory as well as statewide platforms for data governance, agent and chat-based tool creation, and education. Primarily this role will manage Program Manager and Project Manager positions and will interact frequently with stakeholders specific to each UT Health Related Institution. This role will also interact with the UT-REAL-Health AI working groups as they establish the specific roadmap details for each deliverable.

Scope: Institution wide

Responsibilities: 

• Lead and coordinate execution of UT-REAL-Health AI’s strategic objectives, ensuring alignment with the overarching vision and priorities of UT-HIP, the Chair, Co-Chair, and all 8 UT System HRIs. 
• Develop, maintain, and communicate an actionable roadmap for delivering UT-REAL-Health AI’s core aims, explicitly including cross-institutional consensus building and harmonizing practices across all UT System HRIs. 
• Oversee stakeholder engagement and management, proactively establishing and nurturing strong relationships with institutional leaders, researchers, clinicians, IT professionals, and partners at every UT System HRI and beyond. 
• Drive system-wide collaboration, promoting shared understanding and coordinated action among diverse HRIs with potentially differing priorities and resources. 
• Facilitate inclusive decision-making processes to accelerate adoption of AI-driven healthcare innovation, ensuring representation from all relevant stakeholders in each HRI. 
• Supervise the Program Managers and Project Managers within UT-REAL-Health AI, foster a culture of high performance, and accountability, and mentor emerging leaders within a multi-institutional context. 
• Serve as the principal point of contact for reporting progress, challenges, and achievements to UT-HIP leadership and UT-REAL-Health AI Chair and Co-Chair, with a focus on system-wide transparency. 
• Articulate the vision, milestones, and technical pathway for establishing a common Co-Pilot and LLM layer to support federated AI applications across all HRIs. 
• Champion initiatives to remediate disparities in access to care, leveraging AI to achieve equitable health outcomes throughout the UT System.
• Adheres to internal controls and reporting structure.
• Performs related duties as required.

Minimum Qualifications:

• Bachelor's degree in computer science, engineering, biomedical informatics, or related field plus five (5) years of relevant experience.
• Prior experience leading large-scale, transformative initiatives across multiple institutions or within complex, multi-site organizations, ideally in academic medical centers, research consortia, or health systems. 

Knowledge, Skills & Abilities:

• Demonstrated technical depth and literacy in artificial intelligence, including current trends, architectures, and applications in healthcare (this is not an AI research or model development role, but strong technical acumen is required). 
• Demonstrated experience in understanding and managing capital support of multi-stakeholder roadmaps including assessing return on investment of overall projects and intermediate milestones. 
• Exceptional stakeholder and personnel management skills, with a history of building trust, driving alignment, and delivering results across diverse teams and organizations. 
• Outstanding ability to conceptualize, articulate, and execute both the end goal and the intermediate steps required to achieve ambitious organizational aims, particularly in a distributed environment. 
• Excellent communication, negotiation, and presentation skills, with the ability to translate technical concepts for non-technical audiences and communicate effectively across institutional boundaries. 
• Commitment to the responsible, ethical, and equitable application of AI in healthcare.