Unit Director, Artificial Intelligence; AI) Enablement; GTA)

Unit Director, Artificial Intelligence (AI) Enablement (GTA)

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Job Title:

Unit Director, Artificial Intelligence (AI) Enablement (GTA)

Agency:
Georgia Technology Authority

Job Requisition

Shift: Not Applicable (United States of America)

Compensation Details: $120,000

Job Description:

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The Georgia Technology Authority (GTA) is currently seekinga Unit Director, Artificial Intelligence (AI) Enablement – in the Office of Artificial Intelligence

The Georgia Technology Authority (GTA) currently manages the delivery of IT infrastructure services to 89 Executive Branch agencies and managed network services to more than 1,200 state and local government entities. IT infrastructure services encompass mainframes, servers, service desk, end user computing, disaster recovery and security. Managed network services include the state’s wide and local area networks, voice, cable and wiring, and conferencing services.

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The Unit Director of Artificial Intelligence (AI) Enablement serves as the primary bridge between enterprise AI strategy and execution, leading the identification, evaluation, incubation, and scaling of high-impact AI solutions that improve government operations and citizen services.

The position builds enterprise AI enablement capabilities that advance responsible, measurable, and scalable adoption; cultivates innovation through partnerships with agencies, universities, startups, technology companies, and public-sector organizations; and transforms promising AI concepts into measurable business outcomes aligned with enterprise governance and responsible AI principles.

• Develop and execute Georgia’s statewide AI enablement and innovation roadmap.
• Identify emerging AI technologies and high-impact opportunities that improve government operations and citizen services.
• Establish strategic priorities for responsible AI experimentation, adoption, and scale.
• Maintain a portfolio of AI opportunities aligned with enterprise priorities, governance requirements, and responsible AI principles.

• Lead proof-of-concept initiatives, pilots, and controlled AI experimentation.
• Establish methodologies that accelerate innovation while appropriately managing risk.
• Evaluate pilot outcomes, business value, and organizational readiness for broader adoption.
• Transition successful AI solutions from experimentation to scalable enterprise implementation.

• Partner with state agencies to identify, assess, and advance high-value AI use cases.
• Facilitate innovation workshops, discovery sessions, and design-thinking engagements.
• Build multidisciplinary teams to support AI solution development and implementation.
• Provide strategic consultation to agency leaders on AI readiness, adoption, and implementation.

• Manage and prioritize the statewide AI innovation and enablement portfolio.
• Evaluate initiatives based on business value, feasibility, risk, scalability, and strategic alignment.
• Develop business cases, executive recommendations, and implementation strategies.
• Establish performance measures to track adoption, outcomes, benefits realization, and return on investment.

• Build partnerships with universities, research institutions, startups, technology companies, and public-sector organizations.
• Develop collaborative research, innovation challenges, and pilot opportunities that accelerate responsible AI adoption.
• Identify grants, funding opportunities, and strategic resources that support AI innovation.
• Represent Georgia in national AI, emerging technology, and government innovation forums.

• Directly manage Enablement Unit, setting priorities, goals, and performance expectations.
• Foster a culture of operational excellence, clarity, collaboration, and continuous improvement.
• Enable strong coordination between technical, policy, legal, and product/program teams to support end-to-end execution.

• Perform all other duties as assigned.

• Strong technical knowledge of modern AI/ML and generative AI architectures, frameworks, infrastructure, and cloud services, with the ability to design and lead production-grade AI solutions.
• Hands-on understanding of LLMs, multimodal models, RAG architectures, embeddings and vector databases, agentic systems,…