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Lead and embed enterprise‑wide data and AI governance frameworks; Influence senior stakeholders and support executive decision-making; Uplift organisational data capability and literacy across CSIRO
Job Responsibility:
Lead the design, implementation and continuous improvement of CSIRO’s enterprise Data Governance Framework, ensuring it is pragmatic, scalable and supports both research and enterprise needs
Define and embed clear data ownership, stewardship, accountabilities and decision rights, supported by fit‑for‑purpose standards for metadata, data quality and data classification aligned with the Protective Security Policy Framework
Establish and embed data discoverability practices and processes for internal data sharing and interoperability
Partner with Research Data Services and other stakeholders to standardise data lifecycle management practices, particularly for research data, and monitor adoption and effectiveness of governance arrangements
Lead CSIRO’s AI governance and responsible AI approach, including custodianship of the Responsible Use of AI Procedure, oversight of AI risk management, and alignment with evolving regulatory developments and best practice
Build organisational data literacy and capability, championing good data and AI practices through guidance, education and engagement across research and enterprise teams
Act as a trusted advisor to the Chief Digital Officer and senior leaders, supporting effective decision‑making through governance forums, maturity insights, risk reporting, and contribution to Roadmap reviews and prioritisation
Requirements:
Proven experience leading enterprise Data and AI Governance frameworks, including design, implementation, and continuous improvement in complex environments
Strong knowledge of data management, metadata, data quality, classification, and lifecycle practices, and how to operationalise these at scale across research and enterprise contexts
Demonstrated understanding of Responsible AI, AI risk management, and emerging regulatory and policy landscapes, with experience embedding practical governance controls
Exceptional relationship management skills with a track record of influencing senior stakeholders and building trusted, cross-functional relationships, including the ability to navigate competing priorities and organisational sensitivities
Highly developed strategic thinking and judgement, with the ability to translate ambiguity into clear governance approaches, decision frameworks, and pragmatic implementation pathways
Visible, values-led leadership style that builds capability and culture, including driving data literacy, ownership, and responsible AI behaviours across diverse workforce cohorts
Strong communication and advisory capability, able to present complex technical and risk concepts clearly to executives, governance forums, and non-technical audiences
Experience working within government, regulated, or research-intensive environments, including alignment to security, privacy, and data sovereignty requirements
Demonstrated ability to lead through change, proactively pivoting approaches based on new risks, technologies, or organisational priorities while maintaining momentum and trust
Commitment to inclusive and culturally appropriate data practices, including experience or demonstrated capability of working with Indigenous data governance principles and diverse stakeholder groups
Poise, diplomacy, and grace under pressure
Tertiary qualification (or equivalent industry experience in computer science, information management, data governance, or a related field