Executive Director - Artificial Intelligence Enablement & Acceleration

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.