Data & AI Governance Lead

SUMMARY:
Are you ready to take the lead in shaping how Data & AI are governed, managed and trusted within a large, complex organisation?

POSITION INFO:
We are looking for an experienced Data & AI Governance Lead to drive governance frameworks, responsible AI practices, data risk management and regulatory compliance across the organisation.

This is a strategic opportunity for someone who can operate at the intersection of Data, AI, Risk, Governance and Business and who is passionate about building mature, future-focused governance environments.

What you’ll be doing:

• Develop and drive Data & AI Governance strategies, frameworks and roadmaps
• Establish and embed Responsible AI governance and AI risk management practices
• Oversee AI use cases from intake and approval through to monitoring
• Drive AI readiness across strategic data products and datasets
• Strengthen data quality, lineage, ownership, metadata and governance controls
• Provide governance assurance across risk, privacy, security and compliance
• Engage with senior stakeholders, Internal Audit, IT and business teams
• Identify governance gaps and drive remediation and continuous improvement
• Provide thought leadership on emerging AI, data and regulatory trends
• Mentor and guide Data & AI Governance practitioners

What we’re looking for:

• Relevant degree in Information Studies or a related field
• 8+ years' experience across data/information management and governance
• Strong experience within financial services or a similarly regulated environment
• Strong understanding of data risk, governance, compliance and information management
• Knowledge of frameworks such as DAMA, COBIT, King IV and relevant regulatory requirements
• 3–5 years' exposure to AI Governance, Responsible AI, Model Governance, Model Risk Management or AI Compliance would be highly advantageous

Why this opportunity?

This is more than a traditional Data Governance role. You’ll have the opportunity to shape the governance landscape around AI and data, influence strategic decision-making and help build an environment where emerging technologies can be adopted responsibly and securely.

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• Actuarial (Life, Short-Term, Pensions, Health, Quant)
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• Market, Credit & Quantitative Risk
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