Senior AI Governance Manager

Salary: 160k-190k base + super

Senior Manager – AI Governance

North Sydney | Hybrid | Permanent

We’re partnering with a leading financial services organisation looking for a Senior Manager – AI Governance to help shape its approach to GenAI, LLMs and agentic AI.

This is an opportunity to own the AI governance roadmap, influence senior decision-makers and help turn AI ambition into responsible, scalable business outcomes. You’ll work across technology, risk, cyber, data and business teams, helping the organisation innovate confidently while managing emerging risks.

What you’ll be doing

• Own and develop the AI governance roadmap, frameworks and controls.

• Assess emerging AI use cases, from experimentation and proof of concepts through to production.

• Advise senior stakeholders on responsible AI adoption, emerging risks and governance requirements.

• Shape the approach to GenAI, LLMs and agentic AI across the business.

• Lead AI assurance, risk reporting and regulatory readiness.

• Partner with technology, cyber, data, legal and risk teams to embed governance into how AI is delivered.

What they’re looking for

• 8+ years’ technology experience, including direct involvement with AI.

• 4+ years’ experience in technology governance, risk or a related discipline.

• Experience developing AI governance frameworks and managing GenAI/LLM risks.

• Strong stakeholder management skills, with the ability to translate complex risks into practical advice.

• Financial services, lending or other regulated industry experience is advantageous.

• Knowledge of frameworks such as NIST AI RMF or ISO 42001 would be beneficial.

Why consider it?

• Real ownership: Take the lead on the AI governance roadmap and help shape the function’s direction.

• Emerging technology: Work across GenAI, LLMs and agentic AI as organisations navigate the next stage of adoption.

• Business-wide influence: Partner with senior leaders and teams across technology, risk and the wider business.

• More than compliance: Help enable AI innovation, not just identify risks and write policies.

• Build for the future: Play a key role in establishing the frameworks, standards and controls that support responsible AI at scale.