AI Governance Manager

London

The AI Governance Manager is responsible for operationalizing Cushman & Wakefield’s enterprise AI governance framework. Reporting to the Director, Global Data Privacy & AI Governance, this role ensures that AI systems are assessed, approved, tracked, and monitored in line with internal policies, regulatory expectations, and client requirements. 

The role directly supports the firm enabling scalable, day-to-day governance of our responsible AI use globally.

Key Responsibilities:

• Operationalize and continuously improve the enterprise AI governance framework, translating AI policies and regulatory requirements into practical, repeatable governance processes. 

• Coordinate AI governance activities across Privacy, Legal, Compliance, Risk, Information Security, IT, and business teams to ensure consistent application. 

• Manage the end‑to‑end AI Impact Assessment (AIIA) process for new and materially changed AI use cases, including facilitation, cross‑functional review, approval, and maintenance of the central AIIA repository. 

• Ensure AI assessments address privacy, fairness/bias, explainability, security, and regulatory considerations. 

• Support maintenance of the AI regulatory register, monitor emerging AI regulations, and assist with updates to AI policies, standards, and templates. 

• Support AI‑specific third‑party due diligence, including coordination with Legal and Procurement and tracking of vendor AI systems. 

• Support the Enterprise AI Council by preparing submissions and risk materials, and tracking decisions, conditions, and remediation actions. 

Required Experience & Qualifications:

Essential 

• 5+ years’ experience in risk management, compliance, governance, privacy, technology risk, or internal audit. 

• Close familiarity with frameworks such as GDPR, NIST AI RMF, ISO/IEC 42001, and emerging AI regulations. 

• Strong understanding of risk-based governance and regulatory compliance concepts. 

• Experience working in complex, regulated, global organizations. 

• Ability to translate policy and regulatory requirements into operational processes. 

Desirable 

• Experience with AI, analytics, or automated decision-making governance. 

• Exposure to third-party risk management or vendor due diligence.

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Skills & Attributes 

• Strong analytical, organizational, and documentation skills. 

• Clear and confident written and verbal communication. 

• Comfortable working independently and managing multiple governance processes. 

• Pragmatic, risk-aware, and able to engage credibly with senior stakeholders.