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About the Role
This role is key within the Knowledge Management Department’s Information and Data Governance section, shaping, embedding, and championing best practice data and AI governance across the Bank to enable responsible data and AI use for strategic priorities, operational excellence, and informed decision-making.
Responsibilities
- Lead data management and governance initiatives across the Bank, driving the adoption of best-practice data governance frameworks, standards and controls.
- Develop, implement and continuously improve AI governance practices, ensuring the responsible, ethical and risk-aware use of artificial intelligence technologies.
- Provide expert advice on data and AI governance, including governance frameworks, risk management, regulatory considerations and emerging industry practices.
- Support and oversee governance arrangements for citizen developers (business coders), enabling innovation while maintaining appropriate controls, oversight and compliance.
- Lead a team of Coordinating Data Stewards, driving consistent data governance practices and supporting Business Data Stewards in the management of metadata, data lineage, risks and controls across the Bank.
- Enable effective governance oversight and decision-making by coordinating governance committees, driving agenda planning, monitoring actions, and ensuring timely follow-up on key decisions and commitments.
Requirements
- Demonstrated experience in developing and implementing data management and governance frameworks, ideally aligned to industry standards such as the DAMA Data Management Body of Knowledge (DMBoK), within the financial services or public sector environments.
- Experience establishing and/or supporting AI governance practices, including the development of governance frameworks, policies, controls and oversight mechanisms for the responsible use of AI.
- Knowledge of governance approaches for citizen development / business coders, with an understanding of balancing innovation, risk management and compliance requirements.
- Strong stakeholder management and influencing skills, with a proven ability to build trusted relationships and work collaboratively with senior leaders, subject matter experts and cross-functional teams.
Skills
- SQL
- Python
- R
- Git
Location
- Hybrid
Work Type
- Permanent
- Hybrid
Education Level
- CDMP certification would be highly regarded
Benefits
- Development and career opportunities
- Collaborative environment that supports your growth
- Wellbeing support
- Flexibility
About the Company
- The RBA makes an important contribution to the Australian economy through the pursuit of national economic policy objectives and associated activities in financial markets and banking.
- We also issue Australia's banknotes and operate infrastructure critical to the payments system, all of which contribute to the welfare of the Australian people.
- Striving to be Open & Dynamic, we consider and incorporate different perspectives, work across teams and are transparent with each other, whilst delivering quality together effectively and focusing on outcomes by prioritising, testing, learning, and refining as we go.
- Our people conduct themselves with a high degree of integrity, while striving for excellence in the work they perform and the outcomes they achieve.
- We encourage intelligent inquiry and we treat one another with respect while promoting the public interest through our efforts.
Equal Opportunity
- The Reserve Bank of Australia is committed to equity, diversity and inclusion through key initiatives.
- We welcome and encourage applicants from diverse backgrounds to apply, including Aboriginal and Torres Strait Islander peoples, culturally and linguistically diverse background, those living with a disability and from the LGBTQ+ community.
- We are committed to making the recruitment process fair and equitable for all our candidates.