Overview
Public sector organisations are under growing pressure to improve data quality, clarify ownership and prepare trusted data for AI, analytics and secure information sharing. But having a governance policy is not enough—it must translate into consistent behaviours, controls and measurable outcomes.
Advanced Data Governance II: Implementation and Uplift helps public sector teams across Australia and New Zealand move from governance frameworks to everyday practice.Explore practical approaches to strengthen data ownership, stewardship, classification, access, quality and lineage.
You’ll also learn how to build sustainable governance routines that support service delivery, compliance, ISO 27001 alignment and defensible decision-making.
Register now and gain practical tools and implementation artefacts to turn your data governance policy into measurable action.
Who Should Attend?
This course is designed for public sector professionals involved in data governance, data quality, information management, privacy, cyber, risk, digital transformation, and AI readiness. It is relevant for data leaders, governance and quality teams, data owners, custodians and stewards, architects, analytics and reporting leads, AI/digital transformation teams, program managers and senior leaders accountable for data-enabled services. It is also suitable for policy, strategy, technology and business teams involved in data sharing, DWH/ lakehouse initiatives, metadata, catalogue, lineage, reporting or AI-enabled decision support.
Learning Outcomes
By the end of this course, you will be able to:
Translate an existing data governance policy into a practical 90 / 180 / 365-day implementation roadmap.
Identify where governance is stalling and distinguish policy maturity from operational maturity
Clarify how data owners, custodians and stewards make decisions in practice, not just in role descriptions
Build a practical delegation pack for one data domain, including classification, asset to register entries and evidence requirements
Identify sensitive data and use classification as a structured step towards opening data access safely.
Prioritise critical data elements and select fit-for-purpose data quality measures
Define 3–5 practical KPIs covering governance adoption and data quality improvement
Understand how DWH, lakehouse, governed platform and lineage solutions support trusted AI and cross-domain sharing
Map one AI use case against governance, data quality, privacy, security, ISO 27001, classification and lineage prerequisites
Leave with an internal implementation pack that can be shared with executives, data owners, and delivery teams
Online Training
Advanced Data Governance II: Implementation and Uplift
Session details
- Move from governance theory to practical implementation — the part where most policies stall
- Prepare your organisation for AI by strengthening the data foundations AI depends on — quality, ownership, classification, metadata and lineage
- Reduce the risk of opening data access too quickly by identifying sensitive data and applying clear classification and access controls
- Connect data governance uplift to ISO 27001 readiness, cyber security, privacy and audit expectations
- Build practical artefacts your organisation can reuse, including a roadmap, delegation pack, comms plan, scorecards and executive one-pager
- Improve confidence in cross-domain sharing by balancing access, risk, privacy, security, and operational needs
- Equip data, digital, risk, governance and business teams with a shared language for AI-ready data governance
Familiarity with the topic is required
Meet Your Facilitator
Nigel Schmalkuche
Managing Director and Principal Consultant | Strategic Architects
Nigel 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 ICT 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 ICT 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 Australian, New Zealand, USA and Canada 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.
Register Today
Join this training for professionals working within the Public Sector
Extra Early Bird
Ends 4 Dec
$A 850
per person + tax $400 savingEarly Bird
Ends 22 Jan
$A 1050
per person + tax $200 savingRegular
Ends 24 Feb
$A 1250
per person + taxFor group or payment enquiries or custom training solutions, please contact [email protected]
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