Provide enterprise leadership & vision for IT, data for AI to enable 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.

Executive Director - Artificial Intelligence Enablement & Acceleration

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