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Director of AI Education & Learning Innovation

Angelo State University, San Angelo, TX, United States


Job Title: Director of AI Education & Learning Innovation

Position Number:

Department: Kay Bailey Hutchison Institute

Salary: $100,000

Remote: No

Job Summary

The Director of AI Education & Learning Innovation provides strategic leadership for integrating artificial intelligence into teaching, learning, and academic innovation across the university. Based within the AI Center of Excellence, this role leads the implementation of AI literacy initiatives campus- and community-wide, supports student workers in leading various innovation and AI projects across the university, and plans for and provides opportunities for faculty, staff, and students to effectively use and critically engage with AI technologies. The Director collaborates with faculty, academic departments, instructional designers, and technology leaders to design curriculum frameworks, professional development programs, and research-informed teaching practices that leverage AI to enhance learning outcomes.

This position is grant funded. Continued employment past the funding guidelines is not guaranteed.

Typical Duties

  1. Provide strategic leadership for integrating artificial intelligence into teaching, learning, and academic innovation across the university.
  2. Develop and implement campus-wide AI literacy initiatives that promote responsible, ethical, and effective use of AI technologies among faculty, staff, students, and community partners.
  3. Evaluate emerging AI technologies and educational tools to determine their potential value, risks, and applicability in academic settings.
  4. Create structured opportunities for student innovation, including labs, project incubators, research experiences, and collaborative initiatives focused on AI and emerging technologies.
  5. Supervise and evaluate student project progress and deliverables, ensuring projects meet established goals, quality standards, and institutional expectations.

Knowledge, Skills and Abilities

Knowledge

  • Knowledge of AI literacy frameworks and responsible or ethical AI use in academic environments.
  • Knowledge of curriculum development and the integration of technology‑enhanced learning across disciplines.

Skills

  • Skilled in strategic planning and implementation of institution‑wide initiatives related to AI in teaching and learning.
  • Skilled in project management and coordination of cross‑functional initiatives involving multiple stakeholders.
  • Skilled in assessing program effectiveness and learning outcomes using data‑informed decision making.
  • Skilled in facilitating professional development workshops, training sessions, and learning communities related to AI and innovation.

Abilities

  • Ability to supervise, mentor, and develop student workers and project teams.
  • Ability to build partnerships with academic departments, technology leaders, and external organizations to advance AI education initiatives.
  • Ability to architect and implement university‑based learning opportunities that support AI experimentation, research, and hands‑on learning.

Minimum Qualifications

  • Bachelor’s degree in computer science, education, AI, data science, or related field from an accredited university.

Preferred Qualifications

  • Master’s degree in computer science, education, AI, data science, or related field from an accredited university.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran.

In compliance with the Americans with Disabilities Act (ADA), Angelo State University is committed to providing reasonable accommodations to ensure equal access to employment opportunities for qualified individuals with disabilities. We are committed to ensuring that a qualified individual with a disability has the same rights and privileges in employment as non-disabled employees.

If an accommodation is requested for the job application process, please contact our office at or email us at

Posting Information

Posting Number: S1097P

Open Date: 03/25/2026

Desired Start Date: 05/01/2026

Open Until Filled: Yes

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