AI Governance Specialist

Overview

As AI Governance Specialist, you will lead the Data, Model and AI governance framework to enable responsible AI adoption. You will work with senior stakeholders across Technology, Data, Risk, Legal and Compliance to manage risk, implement controls and ensure regulatory compliance. You will shape governance policies, perform risk assessments and report to leadership. This is a chance to influence ethical AI practices at a leading professional services organisation and strengthen governance across AI initiatives.

Pay / Benefits

• bonus
• hybrid work arrangement
• competitive salary
• opportunity to influence governance across AI initiatives
• career development opportunities
• partnering with senior stakeholders

Responsibilities

• Develop and maintain Data, Model and AI governance frameworks, policies and controls
• Lead AI risk assessments, control testing and model reviews focusing on bias, fairness and explainability
• Monitor Data and AI risks, oversee remediation and reporting
• Advise senior stakeholders on AI governance, risk appetite and responsible AI adoption
• Ensure compliance with regulatory, legal and data protection requirements
• Lead AI governance forums and coordinate cross-functional stakeholders
• Support audits, assurance activities and regulatory requests
• Produce risk reporting for senior leadership and Board-level committees
• Promote ethical, transparent and responsible AI practices

Key requirements

• Extensive experience in AI governance, Data Governance, Model Risk or Technology Risk
• Strong understanding of AI/ML risks, including bias, explainability, resilience and data lineage
• Experience developing governance frameworks, policies and controls
• Financial services or insurance experience, with knowledge of relevant regulations
• Strong risk assessment, control testing and remediation experience
• Proven ability to influence senior stakeholders and challenge risk decisions
• Experience working with Risk, Compliance, Technology and Audit teams
• Ability to translate complex technical risks into clear business recommendations
• Strong strategic thinking and stakeholder management skills

• stakeholder management
• influence and persuasion
• strategic thinking
• AI governance frameworks
• risk assessments and remediation
• model risk management

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