Head of AI Trust, Risk & Governance

• Operationalize the AI trust, risk, and governance framework across BCS, aligned to enterprise policies and regulatory expectations
• Implement legal, compliance, privacy, and security requirements into practical, scalable controls, embedded within AI development and deployment workflows
• Serve as the primary interface between BCS and partners across legal, compliance, privacy, security, and engineering
• Establish governance model for AI use cases, including intake risk tiering, approvals, and ongoing monitoring
• Lead executive reporting on AI risk and governance, synthesizing complex technical and regulatory topics into clear, actionable insights.
• Enable organization through education, playbooks, and guardrails that make compliant AI development faster and more consistent
• Partner with VMO to onboard AI vendors, ensuring third-party solutions meet internal standards for risk, privacy, security, and compliance

Requirements

• A minimum of 8 years of experience in risk, governance, compliance, technology controls, or related roles.
• A minimum of 3 years of experience delivering AI/ML systems, data governance, model risk management
• Strong understanding of AI risks and controls, including bias, explainability, data privacy, and model monitoring
• Experience designing and implementing governance frameworks, policies, and control environments
• Familiarity with regulatory expectations (e.g., data privacy laws, emerging AI regulations, etc.)
• Experience partnering with Cyber Security, Privacy, Legal, Compliance, and Vendor Management functions
• Excellent stakeholder management and executive communication skills
• Proven ability to operate in cross-functional and highly matrixed organizations

???? ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills

• Risk Management
• Governance
• Compliance
• AI/ML Systems Delivery
• Data Governance
• Model Risk Management
• Control Environments
• Bias Mitigation
• Explainability
• Model Monitoring

Soft Skills

• Executive Communication
• Stakeholder Management