AFCA

Financial Services

SeniorManagerData&AIGovernance

A$175–245k ~AI est. Melbourne, Victoria, Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Manager Data & AI Governance at AFCA. Skills: Data governance, AI governance, Risk management, Compliance. Own and maintain Data and AI governance frameworks. Lead data quality standards and practices”

What You'll Achieve.

Ensure data and AI initiatives deliver value; Manage risk

Industry & Context.

Financial Services
Problems you'll solve

Risk management; Commercial management

What They're Looking For.

Must Have

Extensive experience in governance, risk, compliance or technology roles, Focus on AI governance, data governance or AI assurance, Demonstrated experience designing and implementing governance frameworks for AI or emerging technology, Experience leading or participating in cross-functional working groups or governance committees, Hands-on delivery leadership, Excellent stakeholder management skills, Commercial, risk and dependency management capability, Clear communicator able to simplify complexity and build trust, Growth mindset with a practical, outcome-focused approach, Resilient, adaptable and calm in high-change environments

Nice to Have

Experience in financial services, digital-first organisations or highly regulated environments

What You'll Do.

Own and maintain Data and AI governance frameworks

Lead data quality standards and practices

Ensure data is fit for purpose

Support evaluation and assessment of AI tools

Integrate data and AI governance with privacy frameworks

Integrate data and AI governance with information management

Integrate data and AI governance with information security

Drive cross-functional governance forums

Coordinate assessments

Prepare recommendations for decision-making bodies

Maintain enterprise inventories of approved data and AI

Maintain enterprise inventories of key data assets

Lead periodic suitability reviews

Lead periodic compliance reviews

Monitor external developments in AI regulation

Monitor external developments in AI ethics

Monitor external developments in AI assurance

Advise leaders on implications

Advise leaders on required actions

coach and develop the Manager

Ensure alignment across governance activities

How You'll Work.

Team & Collaboration

Cross-functional governance forums; Partner with leaders across organisation

Communication Scope

Simplify complexity; Build trust

Process & Methodology

Dependency management

Full Job 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. As we expand our use of data and artificial intelligence, we’re committed to doing it safely, ethically and thoughtfully, always with fairness at the centre. In this newly created position,The Senior Manager - Data & AI Governance, will lead AFCA’s approach to responsible data and AI adoption. This role owns the end‑to‑end Data & AI governance lifecycle, from frameworks and policy design through to evaluation, assurance and ongoing oversight, ensuring data and AI initiatives deliver value while managing risk. Reporting to the Head of Data & Analytics, you’ll partner closely with leaders across the organisation to embed strong governance practices that support innovation while protecting our people, customers and community. What you’ll do * Own and maintain AFCA’s Data and AI governance frameworks, aligned to regulatory developments, Australia’s AI Ethics Principles and organisational needs * Lead data quality standards and practices, ensuring data is fit for purpose for operational use and AI applications * Support the evaluation and assessment of AI tools, including testing for accuracy, bias, reliability and fitness for purpose * Integrate data and AI governance with privacy, information management and information security frameworks, from approval through to implementation * Drive cross‑functional governance forums, coordinating assessments and

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