An new and exciting opportunity has become available for someone to help this organisation shape how AI is  governed, validated and released across a major enterprise.

This is not a role for someone building models.

This is for a leader who understands AI, ML and modern testing practices, and wants to define the frameworks, assurance standards and governance that determine whether AI solutions are safe, reliable and ready for release.

You will establish a brand-new enterprise capability, bringing together AI assurance, testing, risk, governance and business validation into a scalable framework that will support AI adoption for years to come.

Responsibilities: 

• Design and implement the organization's AI Testing & Assurance Framework, defining the standards, controls and evidence required before AI solutions can be released.
• Establish assurance processes across AI safety, bias, drift, explainability, reliability, monitoring and governance.
• Act as the independent authority for high-risk AI releases, providing assurance recommendations and challenging progression where evidence does not meet agreed standards.
• Define how AI can be leveraged to modernise and accelerate testing through automation, validation, test design and evidence generation.
• Create the business validation model that ensures AI outputs are accurate, explainable, safe and appropriate, not simply technically compliant.
• Embed AI assurance into existing risk, governance and delivery frameworks, ensuring alignment with regulatory and operational requirements.
• Build the future-state AI Assurance capability, including operating models, workforce uplift, governance and long-term ownership.

You will be someone that knows how to build enterprise frameworks, influence senior stakeholders and translate emerging AI risks into practical, measurable assurance outcomes.

Your experience will include: - 

• Designing AI Assurance, Responsible AI, Model Validation or AI Governance frameworks within a complex enterprise environment.
• Deep knowledge of AI risks including bias, drift, explainability, safety, reliability, adversarial resilience, prompt injection and ongoing monitoring.
• Leading testing, quality engineering or assurance functions and embedding standards into large-scale technology delivery environments.
• Working within regulated or highly governed environments such as financial services, banking, insurance, superannuation or government.
• Building governance models, operating frameworks and sustainable enterprise capabilities.
• Influencing executives, risk leaders and delivery teams to drive adoption of new standards and ways of working.

Why this role?

Few organisations are investing at this level in AI assurance.

This is a rare opportunity to define how an enterprise approaches AI testing, validation, governance and release assurance from the ground up. You'll have the autonomy to build the framework, influence executive decisions and leave a lasting capability that enables the safe and scalable adoption of AI across the organisation.

If you are excited by AI but your passion lies in governance, assurance, risk and enterprise frameworks rather than building models, we'd love to hear from you.