Chief Artificial Intelligence Officer (CAIO)

Essential Functions

Serves as Department of Innovation and Technology (DoIT)s Chief Artificial Intelligence Officer (CAIO), acting as the Agencys principal executive and policy-making official for artificial intelligence (AI) and machine learning (ML).

Inventories, classifies, and maintains line-of-sight over AI/ML algorithms in use by DoIT and the agencies referenced in DoITs enabling Act, including the use of those algorithms by agency-contracted vendors.

Serves as official agency spokesperson and subject matter expert (SME) on behalf of the DoIT Deputy Secretary to internal and external entities, including all client agencies, on AI and ML matters and policies.

Develops and implements DoITs Artificial Intelligence Roadmap to align DoITs use of AI/ML with its strategic priorities, security needs, values, and opportunities.

Collaborates with a wide array of key stakeholders to ensure broad alignment and responsible AI/ML adoption across the State, including AI trends, risks, and opportunities.

Directs and leads the State's commitment to Responsible AI by developing, communicating, and enforcing a unified set of AI/ML standards and policies across DoITs statutory agencies and in collaboration with relevant DoIT counterparts.

Serves as full line supervisor.

Keeps abreast of new developments in the information technology field by continuing education through online training platforms, meetings, training sessions, seminars, and conferences to increase familiarity with and remain current on products, vendors, techniques, and procedures.

Minimum Qualifications

• Knowledge, skill and mental development equivalent to completion of four (4) years of college with coursework in Management Information Systems, Information Technology, Computer Science, or directly related field.
• Prior experience equivalent to four (4) years of progressively responsible management experience in a large information technology organization in a public or business organization.
• Professional experience equivalent to four (4) years in policymaking, strategic planning, and IT solutioning for large scale computer systems and platforms.
• Professional experience equivalent to three (3) years supervising a team of Information Technology professionals in a large and highly complex public or private IT organization.