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Executive Director - Artificial Intelligence Enablement & Acceleration

Board of Regents, University System of Georgia and by and on behalf of GA TechAtlanta, GA🇺🇸United States

Why this role stands out

This executive director role offers a unique opportunity to shape the future of AI enablement within a prestigious university system, driving innovation and impact across teaching, research, and administration. If you possess a deep understanding of AI, experience leading enterprise technical teams, and a passion for digital transformation, you will thrive in this hybrid leadership position.

Quick overview

SeniorityLeader
Work modeHybrid
LocationAtlanta, GA, United States
Microsoft OfficeComplianceGenerative AI

Job description

Provide enterprise leadership & vision for IT, data for AI to enable the Institute's mission, operations & strategic objectives. Establish strategic direction for the Institute's digital, data,& AI capabilities, ensure technology is leveraged as a core enabler of teaching, research, administration, & student success.
Lead & support campus in understanding and adopting digital & AI-enabled ways of working, modernizing systems, processes & skills to meet evolving institutional needs. Identify & evaluate emerging technologies, data platforms, AI capabilities, systems software, infrastructure and cybersecurity solutions required for effective digital transformation & integration across the Institute.
Coordinate, facilitate & consult with academic, research & admin units to translate business & mission needs into scalable technology, data & AI solutions. Responsible for establishing group, departmental or divisional goals; determining resources; assessing performance; & making pay decisions.
Position will interact with executive & senior leadership, executive-level internal stakeholders, external service providers, vendors, industry peers & unit management & staff. Position will advise & counsel executive & Sr leadership, internal stakeholders, unit management & staff. Position supervises unit management & staff.
  • Experience leading large, enterprise technical teams through the end-to-end lifecycle of AI enabled products and services, including design, development, deployment, operations, and ongoing support.
  • Strong hands-on understanding of agentic AI development, including agents, workflows, orchestration patterns, and multi model architectures.
  • Working knowledge of AI platforms and integration layers, such as MCP concepts, AI orchestration layers, AI gateways, and secure enterprise integration patterns.
  • Practical coding literacy and familiarity with modern AI development tools and environments (e.g., Copilot Studio, Claude Code, and related low code/pro code AI frameworks).
  • Ability to balance technical depth with executive leadership, effectively partnering across academic, research, administrative, privacy, security, and compliance domains.
  • Experience operating in higher education, the public sector, or similarly complex and regulated environments is strongly preferred.
  • Experience in a research University setting 15 years of job-related experience, 10 years in management role
  • Advanced certification in Microsoft Office 365 ecosystem
  • Enterprise Leadership certifications or training.

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