AI Director

About the job

Enterprise AI Strategy : Collaborate with DTS and agency leadership to define the overall vision and strategy for AI implementation within the state executive branch, aligned with Governor Cox’s Pro-Human AI Initiative. AI Governance : Lead the AI Governance Group and DTS Enterprise AI Team. Guide leadership decisions on AI strategy and implementation. Report on AI adoption and impact throughout state government. AI Policy : Lead ongoing efforts to assess and revise the DTS Enterprise Generative AI Policy. Provide draft adjustments for DTS leadership and the Governors’ Cabinet review and approval. AI Project Leadership : Provide oversight for high-visibility enterprise AI projects. Oversee the DTS AI Factory, a centralized, standardized and streamlined process to ideate, assess, pilot, deploy and monitor AI projects throughout state executive branch agencies. Identify emerging AI trends and maintain a 'test-and-learn' mindset. AI Vendor and Technology Evaluation : Lead technical evaluation for emerging AI platforms, models, and vendors. Conduct AI risk assessments and determine whether AI solutions meet enterprise security, governance, privacy, and data retention requirements before agency adoption. Establish close coordination with the privacy and cybersecurity teams throughout the state in evaluation processes. Exercises rigorous critical thinking when assessing AI risks and vendor claims. In-House AI Solution Development : Lead the DTS Enterprise AI Team in coordination with other DTS development teams in designing and developing bespoke AI solutions to support state agencies. Inter-Agency and Stakeholder Collaboration : Liaise with agency IT Directors, Privacy Officers, Cybersecurity Officers, and specific state agency business leaders. Provide strategic recommendations, collect and disseminate regular status updates, review high-level project briefings, and gather feedback on AI adoption bottlenecks. Actively listen to stakeholders to gain insights. AI Adoption, Training and Community Building : Define strategies and create plans to monitor and grow AI adoption and literacy in state government. Lead efforts to design mandatory AI responsible use training, along with additional end user and leadership AI training programs. Identify and work with partners to provide learning opportunities for state government employees. External Representation and Networking : Represent DTS and the state’s AI implementation efforts at virtual and in-person major industry conferences, meetings and forums. Engage with counterparts in other state and local governments to share knowledge and identify areas of potential collaboration. AI Budget Development : Define, document, and present annual enterprise AI budget proposals that support AI programs to DTS leadership. Change Management : Lead organizational culture initiatives to manage the transition to AI-augmented and automated processes and address resistance to AI adoption. Infrastructure Management : Define strategies that contemplate a blend of cloud and sovereign AI platforms, considering long-term maintenance, cost-optimization, and lifecycle management, including model management and deprecation. Vendor Ecosystem Management : Manage ongoing vendor relationships, SLA compliance, and strategies to minimize vendor lock-in.