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Online Training

Operationalising AI Governance in the Public Sector

Embedding Policies and Practices to Enable Modernization

Next Intake 30 & 31 March 2027 | 10:00 AM - 2:30 PM AEDT
Next Intake 30 & 31 March 2027 | 10:00 AM - 2:30 PM AEDT

Overview

The age of isolated AI pilots is ending. The challenge now is governing AI at scale.

As AI becomes increasingly embedded in government systems, services and workflows, public sector organisations face growing pressure to establish clear accountability, visibility and assurance across its use.

The question is no longer simply “Do we have an AI policy?” but how effectively AI is governed in practice.

This practical course equips ANZ public sector professionals with the tools to implement responsible AI governance, helping them:

  • Establish clear ownership and visibility of AI use
  • Assess risks and apply proportionate governance controls
  • Strengthen vendor assurance and human oversight
  • Make informed decisions across the AI lifecycle

Move beyond compliance and build governance that enables confident, responsible AI adoption.

Register now to strengthen your organisation’s AI governance capability and turn responsible AI principles into practical, actionable controls.

Course Inclusions

  • Move from policy to practice: Translate broad AI principles and obligations into repeatable decisions, workflows and controls your organisation can use
  • Gain visibility of AI use: Develop a practical approach to identifying and registering approved, embedded and unsanctioned AI across the organisation
  • Apply proportionate governance: Learn how to match controls and assurance requirements to the impact, complexity and risk of each use case
  • Strengthen cross-functional accountability: Clarify how executives, policy, legal, privacy, risk, cyber, data, procurement and delivery teams contribute to effective governance
  • Respond to emerging AI risks: Address AI agents, Shadow AI, vendor-embedded capabilities, sovereignty, changing models and rapidly evolving tools
  • Build a culture of responsible adoption: Help teams understand their responsibilities and make safe, ethical AI use part of everyday work not simply a central governance requirement
  • Leave with an implementation toolkit: Take away adaptable templates for governance mapping, impact and risk assessment, use-case registration, vendor due diligence, decision records, lifecycle assurance and implementation planning

Who Should Attend?

This training is designed for public sector professionals responsible for managing, governing, or leveraging data to drive policy, service delivery, and digital transformation.

Chief Data Officers and senior data leaders

Heads of Data Governance or Data Strategy

Data Governance Managers and Policy Officers

Business Analysts or Data Analysts with governance responsibilities

IT or Digital Officers supporting enterprise data initiatives

Program and Project Managers responsible for implementing data governance frameworks

Risk, Compliance, or Audit Officers focused on data quality and governance

Learning Outcomes

By the end of this course, you will be able to:

Understand key factors to consider when crafting a data governance policy

Assess the different approaches to data governance based on the data lifecycle

Set up a Community of Practice and plan for continuous improvement

Modernize data governance for 2026 and beyond

Online Training

Operationalising AI Governance in the Public Sector

Session details

Get the tools to tighten up your data governance and make smarter, more transparent decisions.

  • Gain insights that will enable you to change behaviors and practices to modernize data governance in your organization
  • A bespoke, interactive program designed specifically to uplift data governance maturity in the public sector
  • Build knowledge on how to optimize your data to drive modernization, transformation and user-centricity

This hands-on course will help you build fit-for-purpose frameworks and boost data confidence across your team.

Intermediate

Some familiarity with topic is recommended

Meet Your Facilitator

Advancing Data Governance in the Public Sector - Nigel Schmalkuche

Nigel Schmalkuche

Managing Director and Principal Consultant | Strategic Architects

Nigel Schmalkuche is a leader in strategy, AI, data, cloud, enterprise and business architecture and has guided government across Australia through digital business transformation. He is a results-orientated business and IT professional with 30 years’ experience in the fields of energy, education, elections, finance, health care, housing, legal, mining, manufacturing, news and media, pharmaceutical, policing, racing, transport and utilities. Nigel has held various professional and leadership roles in IT and Enterprise Architecture in Queensland State and Local Government. He is one of our leading trainers and facilitates training courses on Enterprise, Business and Data Architecture, AI and RPA for Canadian, Australian, New Zealand and American Government professionals. Nigel has written two books, AI and Data Strategy and Data to Insight that cover a wide variety of Data Architecture topics including Data Governance.

What your peers had to say

"Data governance maturity model and other tools/roadmap (were) shared, with examples of how they are applied."

"What I liked most about the course is the interaction with other participants, lots of knowledge/ experiences/ issues/ questions shared."

The resources and ability to discuss with others what they are experiencing in their workspace

Register Today

Join this training for professionals working within the Public Sector

Extra Early Bird

Ends 27 Nov

$795

per person + tax $400 saving

Early Bird

Ends 8 Jan

$995

per person + tax $200 saving

Regular

$1,195

per person + tax

For group or payment enquiries or custom training solutions, please contact [email protected]

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