Senior Director of AI in Teaching and Learning

University of North Carolina SystemRaleigh, NC
Hybrid

About The Position

The Senior Director of AI in Teaching and Learning provides strategic and operational leadership for the integration of artificial intelligence into teaching, learning, and student success across the UNC System. This role is responsible for advancing innovative, responsible, and scalable uses of AI in learning environments. The position leads system-wide efforts to engage and support instructors, instructional designers, and related roles, as well as institutions in navigating and implementing AI-enabled pedagogical practices, enhancing student learning outcomes, and supporting the ethical use of AI in education. The Senior Director develops frameworks, programs, communications, and partnerships that translate AI capabilities into meaningful instructional impact, aligning with system priorities and institutional missions. The Senior Director is responsible for identifying, connecting, documenting, and elevating faculty-led and campus-based AI projects, helping to translate emerging practices into shared resources, frameworks, and scalable models. The role ensures that successful and evidence-based AI-enabled teaching and learning practices are actively identified, amplified, and shared across institutions, building a strong community and accelerating impact. This position is a hybrid work arrangement and will work at least three days per week onsite at the Dillon building in downtown Raleigh's Warehouse District. UNC System employees are generally required to reside in North Carolina, within a 2-hour commuting distance of their assigned duty station.

Requirements

  • Master’s degree in Education, Instructional Design, Learning Sciences, Educational Technology, or related field
  • Minimum of 7–10 years of experience in higher education, instructional innovation, or academic technology
  • Demonstrated experience leading teaching and learning initiatives at scale
  • Deep understanding of pedagogy, instructional design, and student learning outcomes
  • Demonstrated knowledge of AI applications in education, including generative AI
  • Strong stakeholder engagement and relationship-building skills across academic environments
  • Experience leading faculty development and adoption of new technologies
  • Ability to translate complex technical concepts into practical instructional strategies
  • Demonstrated commitment to ethical, equitable, and responsible use of AI
  • Strong written and verbal communication skills, including executive-level communication
  • Demonstrated ability to lead change management and drive adoption of new technologies

Nice To Haves

  • Doctorate in a relevant field
  • Experience managing cross-institutional or system-wide programs
  • Experience working across a higher education system or multi-institution environment
  • Familiarity with AI governance, academic integrity considerations, and policy development
  • Experience evaluating teaching innovations and measuring learning impact
  • Experience with digital learning platforms, LMS systems, and edtech ecosystems

Responsibilities

  • Provides strategic and operational leadership for the integration of artificial intelligence into teaching, learning, and student success across the UNC System.
  • Advances innovative, responsible, and scalable uses of AI in learning environments.
  • Leads system-wide efforts to engage and support instructors, instructional designers, and related roles, as well as institutions in navigating and implementing AI-enabled pedagogical practices.
  • Enhances student learning outcomes and supports ethical use of AI in education.
  • Develops frameworks, programs, communications, and partnerships that translate AI capabilities into meaningful instructional impact, aligning with system priorities and institutional missions.
  • Identifies, connects, documents, and elevates faculty-led and campus-based AI projects, helping to translate emerging practices into shared resources, frameworks, and scalable models.
  • Ensures that successful and evidence-based AI-enabled teaching and learning practices are actively identified, amplified, and shared across institutions, building a strong community and accelerating impact.

Benefits

  • UNC System employees are generally required to reside in North Carolina, within a 2-hour commuting distance of their assigned duty station.
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