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Director of IT Governance

Penn State University

Job at a glance

Category
AI Governance
Work arrangement
On-site
Location
Pennsylvania
Posted
Aug 18, 2026
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Penn State University is hiring a Director of IT Governance in Pennsylvania. This is a AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with Penn State University.

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants . Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . ​ POSITION SPECIFICS ​ The Pennsylvania State University seeks an accomplished and forward-looking leader to serve as the Director of IT Governance . Reporting directly to the Deputy Chief Information Officer, the Director leads the design, development, implementation, and continuous improvement of Penn State's enterprise-wide IT governance framework spanning all of IT at Penn State. This is a pivotal role at a defining moment for Penn State IT. As the University advances a multi-year operating model transformation and strengthens alignment between technology investment and institutional strategy, the Director of IT Governance will help establish the decision rights, policies, standards, portfolio practices, and collaborative forums necessary to accelerate strategic outcomes, manage risk, and deliver measurable value to students, faculty, researchers, and staff. The successful candidate will bring deep expertise in IT governance frameworks, a collaborative and consultative leadership style, and the ability to translate complex governance concepts into practical structures that enable, rather than constrain, innovation across a decentralized, research-intensive university environment. KEY RESPONSIBILITIES Enterprise IT Governance Strategy and Framework Lead the development, implementation, and ongoing maturity of a comprehensive IT governance framework that operates at both the enterprise level and within colleges, campuses, and administrative units. Define clear decision rights, accountability structures, escalation paths, and authority matrices (e.g., RACI models) for IT investment, architecture, data, security, and service decisions. Establish and steward governance bodies and

Full responsibilities and requirements are on Penn State University's application page.

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About Penn State University
Hiring for governance, risk, and compliance jobs on GRC Careers.
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Location and market context

This job is based in Pennsylvania on-site. Local candidates benefit from being close to Penn State University's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance jobs

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance job

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Penn State University would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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