IT Governance

The Student Systems Experience Council (SSEC) is tasked with strategically engaging stakeholders across our University campus to help create, maintain, and implement an evergreen roadmap to enhance the student systems ecosystem. Our goal is to further the planning, implementation, and evaluation of student systems, enhance the quality and efficiency of student programs and services, and support the strategic goals and objectives of the University.

The advisory scope of the SSEC covers all aspects of student systems, including but not limited to: 

• The ongoing review of the overall student system with recommendations to invest in, manage, or plan to replace each piece.
• The identification and recommendations for student system projects and initiatives.
• The review and monitoring of student system policies, standards, and procedures.
• The coordination, integration, and alignment of student systems across different departments and units.
• The assessment, improvement, and innovation of student systems performance, functionality, and usability.
• Central oversight of other campus committees and workgroups focused on improvements to student systems and processes. 

The CIO Advisory Council serves as a strategic advisory body to the Chief Information Officer (CIO) of the University of Texas Enterprise Technology. The Council provides insight, feedback, and guidance on major technology initiatives, priorities, and policies that impact the university’s academic, research, and administrative missions.

The Council’s charge is to:

• Advise the CIO on Enterprise Technology strategies, investments, and emerging trends that advance the university’s digital transformation goals.
• Provide input on major technology projects, service delivery models, and governance processes to ensure alignment with institutional priorities and user needs.
• Facilitate communication between Enterprise Technology and campus stakeholders to promote transparency, collaboration, and shared understanding of technology decisions and their impact.
• Identify opportunities to enhance innovation, operational efficiency, and the overall technology experience across the university community.
• Support strategic planning by providing a diverse perspective on current challenges and future opportunities in technology.

The AI Advisory Group will provide guidance, expertise, and feedback to ensure the ethical, effective, and strategic integration of artificial intelligence (AI) across the University. The group will serve as a bridge between campus stakeholders and enterprise governance structures, ensuring that AI adoption is aligned with institutional priorities and values.

Scope of Work:

• Strategic Alignment: Recommend policies and priorities for AI initiatives that align with the guiding principles
• Advisory Role: Advise on opportunities, risks, and emerging needs in AI adoption.
• Transparency & Accountability: Support bias audits, dashboards, and monitoring processes to ensure AI systems are equitable, transparent, and compliant with institutional policies.
• Community Engagement: Ensure input from colleges, schools, and units (CSUs), including representation from designated “AI Champions.”
• Innovation & Scalability: Promote responsible experimentation, identify scalable AI use cases, and provide recommendations.

AI Technical Working Group will operate in partnership with the AI Advisory Group to provide specialized technical expertise, implementation guidance, and feasibility analysis across the University. The group ensures that AI recommendations are practical, scalable, secure, and reflective of the diversity of technologies and needs across campus.

Responsibilities:

• Evaluate technology implications of proposed AI initiatives and advise on feasibility, scalability, integration, and security.
• Support bias evaluation, monitoring processes, and performance assessments for AI systems.
• Translate Advisory Group recommendations into actionable technical plans and implementation paths.
• Identify technology risks, resource requirements, and infrastructure dependencies.
• Serve as the primary consultative body for technical design decisions related to AI adoption.