Head of Responsible AI Governance & Evaluation

UT Southwestern

Dallas (TX)

Sur place

USD 180 000 - 280 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

PPO medical plan day one
Paid Time Off
Retirement Programs (TRS)
Paid Parental Leave
Wellness programs
Tuition Reimbursement
Public Service Loan Forgiveness (PSLF)

Résumé du poste

UT Southwestern is seeking an AI Governance and Evaluation Executive to lead the enterprise Responsible AI program across clinical, research, and operations functions. You will translate strategy into annual roadmaps, operationalize policies, and coordinate governance with senior leaders to enable responsible innovation at scale.

The role requires extensive experience in AI governance, evaluation, and cross-functional leadership within healthcare or academic medical settings, with emphasis on

Qualifications

  • 8 years of progressively responsible experience in AI, digital health, healthcare operations, technology governance, clinical informatics, data analytics, research administration, compliance, or related field.
  • 4 years leading people, programs, or complex cross-functional initiatives.
  • Experience operating cross-functional governance, evaluation, assurance, or enterprise programs.
  • Experience implementing enterprise roadmaps, operating models, or new capabilities, translating priorities into measurable outcomes.

Responsabilités

  • Lead Governance and Evaluation Operations and Roadmap Execution: run day‑to‑day enterprise Responsible AI Governance and Evaluation program on behalf of the CAIO.
  • Translate program strategy into an annual operating roadmap with priorities, dependencies, resources, adoption activities, and measurable outcomes.
  • Operationalize AI policies, standards, workflows, decision rights, review pathways, and documentation requirements.
  • Coordinate governance across institutional structures with UT Southwestern executives and senior leadership.
  • Prioritize work based on value, risk, dependencies, and capacity; surface tradeoffs for decision.
  • Ensure governance is risk‑proportionate, timely, consistent, and supports responsible innovation.
  • Identify complex, novel, or high-consequence cases for escalation to the CAIO or governance body.
  • Manage End-to-End Governance Workflow: oversee intake, triage, AI risk classification, evaluation, review, deployment conditions, monitoring, and reassessment workflows.
  • Coordinate enterprise governance committee agendas, case materials, decisions, action items, and follow‑up.
  • Maintain records of approvals, conditions, exceptions, reassessments, and precedents.
  • Develop expedited pathways for low-risk uses; create reusable review patterns and evidence packages.
  • Provide guidance, education, and stakeholder support to promote early engagement with governance requirements.
  • Track service levels and drive closure of governance actions.

Connaissances

AI governance
Healthcare operations
Data analytics
Compliance
Research administration
Team leadership
Governance frameworks

Formation

Master's degree in Public Health
Master's degree in Biomedical Informatics
Master's degree in Data Science
Master's degree in Computer Science
Master's degree in Engineering
Master's degree in Research Administration
PhD

Description du poste

UT Southwestern is seeking an AI Governance and Evaluation Executive to lead the enterprise Responsible AI program across clinical, research, and operations functions. You will translate strategy into annual roadmaps, operationalize policies, and coordinate governance with senior leaders to enable responsible innovation at scale.

The role requires extensive experience in AI governance, evaluation, and cross-functional leadership within healthcare or academic medical settings, with emphasis on

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