AI Governance Lead
RemoteUnited Kingdom or Australia
Job Summary
Partner with clients to establish practical AI governance frameworks, operating models, and decision-making processes. Assess AI use cases to identify governance, privacy, security, ethical, and regulatory considerations. Develop responsible AI principles, guardrails, and risk assessment approaches that support business outcomes. Work with solution architects and AI specialists to embed governance into AI solution design and delivery. Provide guidance on AI risk, model governance, data governance, and compliance considerations. Facilitate workshops and stakeholder discussions to build understanding of responsible AI practices. Develop governance artefacts including frameworks, decision pathways, and operating model documentation. Help organisations balance innovation with appropriate governance and controls while supporting scalable AI governance capabilities. Contribute to proposals, thought leadership, and the continued growth of the AI and Governance practice.
Required Qualifications
- 7+ years' experience in AI governance, data governance, technology risk, responsible AI, model risk, compliance or related governance disciplines
- 3+ years' experience working across AI, analytics, automation, digital transformation or emerging technology initiatives
- Demonstrated experience assessing AI, data or technology initiatives for governance, risk, value and implementation readiness
- Strong understanding of responsible AI principles, AI governance frameworks, data governance and emerging regulatory expectations
- Experience working across business, technology, data, security, risk and compliance stakeholders
- Ability to apply governance pragmatically, balancing innovation, delivery speed and risk management
- Strong consulting and stakeholder engagement skills, with the ability to communicate governance concepts in practical business language
- Experience developing governance frameworks, control models, policies, decision pathways and operating model documentation
- Previous client-facing consulting experience
Desired Qualifications
- Exposure to data architecture, privacy, cybersecurity or AI lifecycle management
- Experience working within financial services or other regulated industries
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