An organization is looking for an AI Governance Program Manager to structure and drive the AI Governance Program. The goal is to enable safe, compliant, and accelerated AI adoption across the organization. You will work in an agile, cross-functional environment to align stakeholders (IT, Data, Risk, Legal, Compliance, Business) and stand up the operating model, processes, and controls that ensure trustworthy AI at scale.
The organization is establishing a group-wide AI Governance capability covering policy, risk assessment, model lifecycle, documentation, monitoring, and auditability as part of its transformation. This endeavor will require close collaboration with numerous domains and their business counterparts to define standards, codify processes, and embed governance into delivery teams.
What you will do. You will be responsible for the organization, coordination, and reporting on the progress of the AI Governance Program:
- Program orchestration: Build and maintain the program roadmap, backlog, and milestones; manage RAID, dependencies, and interlocks. Establish governance rituals (steerco, working groups, decision logs, reporting) and ensure timely escalation with the Center of Excellence.
- Standards & processes enablement: Coordinate the definition and adoption of AI policies, standards, and guidelines (risk classification, data usage, transparency, human oversight, model documentation). Drive the design and rollout of AI lifecycle processes (use-case intake, risk assessment, validation, approvals, monitoring, incident handling, periodic review).
- Stakeholder alignment: Raise awareness and secure prioritization with contributing teams; facilitate workshops where specific support is needed. Prepare decision materials for executives; manage trade-offs in a politically sensitive, multi-stakeholder landscape.
- Tooling & integration: Coordinate assessment/selection of governance tooling (model registry, risk assessment workflow, monitoring, evidence repository); align with existing data Governance and Risk frameworks.
- Quality, controls & reporting: Ensure validation of deliverables and controls with contributing teams, measure adoption, compliance, and effectiveness. Report progress to management lines and interest groups; handle escalations together with the Data Governance Center of Excellence.
- Transition management: Document the operating model and handover plan; support the recruitment/selection of the internal capability owner.
Profile
- You hold a master’s degree in IT, Engineering, Business Engineering, or equivalent experience.
- You have 5–10+ years in program/project management for transversal governance, regulatory, or risk initiatives; AI/Data governance exposure is a strong plus.
- You have demonstrable experience orchestrating multi‑stakeholder programs with senior visibility and political sensitivity.
- You are comfortable operating in agile environments; familiarity with Scrum/Kanban is a plus.
- You are proactive, structured, and delivery‑driven, balancing pragmatism with compliance needs.
- You have excellent interpersonal & communication skills and adapt your style to technical and non‑technical audiences, including executives.
- You thrive in complex, evolving contexts and can structure ambiguity into clear decisions, actions, and tracking.
- You are fluent in English (written and spoken); French or Dutch is a plus.
- Familiarity with EU AI Act, GDPR intersections, model risk management, and audit requirements.
- Experience with Collibra or related governance platforms; exposure to ML model registries/monitoring.
- Background in risk assessment methodologies (e.g., impact assessments, control testing).
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