Manager, AI Governance at Australian Financial Complaints Authority

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Governance, Responsible AI, AI Assurance, Model Risk Management, Technical Risk Assessment, MLOps, LLMOps, AI Ethics, Stakeholder Engagement, Privacy Controls, Explainability, Fairness Testing, NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, AI Lifecycle Management

Industry

Financial Services

Description

Company Description Fairness feels good Make a real impact at AFCA. Where fairness drives every decision. Help us deliver world-class, independent complaints resolution for Australians. As a not-for-profit and progressive financial ombudsman, we’re championing positive change. Achieving our purpose takes progressive thinking, accountability and resilience. At AFCA, our inclusive leadership values every voice. We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise. Flourish in a diverse, caring culture. Feel the difference of belonging to an organisation intentionally designed to put people first. Job Description We're seeking a Manager, AI Governance to lead the development and implementation of AFCA's AI governance and assurance framework, helping shape how artificial intelligence is adopted across the organisation in a way that aligns with our values, risk appetite and regulatory obligations. This is a unique opportunity to sit at the intersection of AI, risk, governance, data, cyber security and emerging technology. You'll play a critical role in enabling the responsible adoption of generative AI, machine learning and agentic AI technologies across AFCA. Working closely with AI engineers, architects, risk specialists, privacy professionals, cyber security teams and business stakeholders, you'll establish governance-by-design practices that ensure AI solutions are explainable, secure, compliant, auditable and fit for purpose. This role is ideal for someone who enjoys solving complex technology governance challenges while enabling innovation and practical delivery outcomes. Typically, in this role you will: Design, implement and continuously improve AFCA's AI governance control framework. Establish and operate AI lifecycle assurance processes from ideation through to retirement. Define governance standards, evidence requirements and assurance artefacts for AI systems. Conduct technical risk assessments across generative AI, machine learning and agentic AI solutions. Develop and apply AI evaluation methods including robustness, fairness, groundedness and performance testing. Partner with technology teams to embed governance-by-design controls into AI platforms and delivery practices. Maintain AFCA's AI inventory and risk register, ensuring clear ownership, monitoring and governance oversight. Prepare governance and assurance reporting for executives, audit stakeholders and governance forums. Support organisation-wide AI governance capability uplift through guidance, education and collaboration. Qualifications We're looking for a highly capable AI governance professional who combines strong technical knowledge with a pragmatic and collaborative approach. You'll bring: Deep experience in AI governance, responsible AI, AI assurance, model risk management or technical risk disciplines. Strong understanding of the AI lifecycle, including generative AI, machine learning, MLOps, LLMOps and AI incident management. Experience designing controls across privacy, explainability, fairness, robustness, safety, auditability and monitoring. Practical experience evaluating generative AI solutions, including prompt reviews, hallucination assessment, groundedness testing and output quality evaluation. The ability to translate AI ethics, regulatory obligations and governance requirements into practical controls, standards and delivery guardrails. Experience working with risk, privacy, cyber security, audit and compliance stakeholders in regulated or high-trust environments. Knowledge of frameworks such as NIST AI RMF, ISO/IEC 42001 and ISO/IEC 23894. Strong communication and stakeholder engagement skills, with experience influencing both technical and non-technical audiences Additional Information Gold AWEI Accreditation 2025 – Recognised for LGBTQ+ workplace inclusion. Accredited Family Friendly Workplace – Supporting work-life balance and inclusivity. Hybrid working – Flexible arrangements with two days a week in our modern offices designed for collaboration and wellbeing. Additional and inclusive leave options – Flexible public holidays, gender affirmation leave, women’s health leave, and bonus paid time off over the end of year holiday period. To apply If you’re passionate about fairness and believe your skills align with this role, we encourage you to apply even if you don’t meet every single criterion. We welcome applications from people of all backgrounds, cultures, abilities, sexual orientations, and gender identities. If you require any accessibility support during the recruitment process, please reach out to our team at [email protected]. We believe fairness starts with people. That’s why we don’t use AI or automated tools to screen candidates. As a result, our processes may take a little longer, and we thank you for your patience. About AFCA The Australian Financial Complaints Authority (AFCA) was established in 2018 as a private not-for-profit ombudsman service providing free, fair and independent help with financial disputes. The original team has grown to over 1600 dedicated professionals. Since 2018, AFCA has received more than 634,000 complaints, helping to secure $2.1 billion in compensation for consumers. AFCA is a 2026 Circle Back Initiative Employer - we are committed to responding to every applicant.

Responsibilities

Lead the development and implementation of AFCA's AI governance and assurance framework to ensure responsible adoption of AI technologies. Establish governance-by-design practices and conduct technical risk assessments across generative AI and machine learning solutions.