AI Governance Professional Profiles: Governance

These profiles are responsible for the internal machinery that makes responsible AI use operational. This includes developing and managing committees, decision-making structures, inventories, risk registers, model and system cards and accountability matrices. The lead establishes and chairs governance committees, builds organization-wide AI literacy and change-management plans, and coordinates governance with internal and external stakeholders.  

Roles supporting the lead help manage and document the organization's AI governance activities, including the intake and tracking of external policies, standards and best practices; conducting readiness checklists; preparing committee materials; and monitoring adherence to established policies.  

This category is distinguished from policy roles by its internal, operational focus. It turns external requirements and internal principles into functioning day-to-day processes, training and oversight structures.

AI governance lead 

Alternative titles: AI governance program manager, Director of AI governance, Director of responsible AI.

Summary statement: Directs the development and implementation of organizational AI governance, ensuring effective coordination between people, processes and accountability structures.

Key purpose: Establishes and maintains internal governance structures to ensure AI used within the organization is done in a safe, trustworthy and responsible manner that benefits the organization and mitigates unnecessary risk.