Chair’s opening remarks

JONATHAN GRAY
Lead Partner, Enterprise Data & Information
Management, Anchoram / Vice President, DAMA

GAYLE MILNES
National Data Commissioner, Office of the National Data Commissioner

CDOs will increasingly shape data-driven decision-making, balancing privacy and ethical considerations with the need for actionable insights. As data becomes more critical for public service delivery, CDOs will lead initiatives that leverage AI and big data analytics to improve efficiency, predict outcomes, and personalize services for citizens.

Four questions for the panellists:

1. How will CDOs collaborate more with policymakers to ensure data informs regulation, public safety, and policy decisions? (Imma, Susie)
2. How can we strengthen data protection and how will ethical AI use become central, as government systems handle larger and more sensitive datasets? (Jenny)
3. How can CDOs drive efforts to make government data more accessible and transparent, fostering public trust and enabling citizen-driven insights? (Narelle and Susie) (Imma - indigenous data sharing)
4. Taking your experience within your career, what advice would you give to navigate organizational expectations as a CDO or CDAO? (Susie and all)
5.
How are you building on developing capabilities and identifying talent? (Wrap up question) (Looking futuristically, how do we see the role of the CDO and CDAO changing to cement their role?)

CONFIRMED PANELLISTS:

DR SUSIE KLUTH
Chief Data Officer, Data Analytics Branch, Department of Education, Skills, and Employment

IMMA CHIPPENDALE
Senior Strategic Advisor, Data, ACCC

JENNY HUMPHRYS
Chief Data Officer, Department of Employment and Workplace Relations

NARELLE GRAYSON
Head of Data Governance and Policy, Ramsay Health Care

10.30AM MORNING TEA

Questions:

1) What steps can we take to foster a cross-departmental understanding of the complexities of data accountability?
2) Tech Integration: Are systems interoperable across agencies? If not, what challenges do incompatible technologies create for data accountability?
3) How can we move the dial towards a cohesive, integrated approach to data accountability?

CHAIR:
OLGA LYSENKO
Director Enterprise Data Strategy & Governance, Department of Climate Change, Energy, the Environment and Water

CONFIRMED PANELLISTS:

DONNA GOODMAN
Director: Data Governance, Access and Policy Section, Department of Health and Aged Care

CATHRYN NICHOLLS
Organisational Change Consultant, Independent

• Balancing data risks with meaningful outcomes
• Dealing with constant change and high demand data & Ai environment
• Scalable patterns to meet evolving environments

NITHIN BALAKRISHNAN
Director, Data Capability, ACT Health

12.30PM NETWORKING LUNCH

DATA SHARING AND DATA CAPABILITES

• Balancing Innovation and Privacy: How governments can leverage AI while ensuring ethical data use and compliance with privacy regulations.
• Modernising Legacy Systems: Strategies for integrating AI and machine learning into outdated public sector data infrastructure.
• Trust and Transparency: Building public confidence through explainable AI and transparent decision-making processes.
• Data Sharing Across Agencies: Enhancing inter-agency collaboration while maintaining secure, well-governed data ecosystems.

MAKA KAMA
Chief Purpose Officer, Alliance Community Group

1. AI for Transformation
How can organizations unlock the full potential of Generative AI to transform service delivery and internal operations, while overcoming the significant challenges of data governance?

2. Responsible AI: Compliance, Ethical Standards, Transparency and Accountability
What steps are necessary to ensure Generative AI models adhere to data privacy laws and ethical standards, turning responsible AI usage into a driver of trust and innovation? What frameworks are needed to minimize bias in AI outputs, and how can AI be leveraged to promote fairer outcomes across service delivery and organizational processes?

3. Cultural and Organizational Adoption
How can leaders champion the adoption of Generative AI, balancing its vast potential for transforming operations with the need for strong governance and widespread organizational buy-in?

4. Live Demonstrations: See examples of how AI can transform organisations using the latest technology

ALEX JENKINS
Director, WA Data Science Innovation Hub; Chair & Founder, Curtin AI in Research Group 

Syed Sajid Husain, a seasoned ICT Change Manager at the Department of Local Government, Sports and Cultural Industries, brings a wealth of expertise in navigating the complexities of organisational transformation. In his session, Syed will explore the critical nexus of change management and data governance, emphasising how effective alignment between these domains enables organizations to unlock strategic value.

• Learn how structured change management can drive adoption and integration of data governance frameworks across departments
• Understand strategies for maintaining regulatory compliance without stifling innovation or operational flexibility
• Discover approaches to engaging stakeholders, addressing resistance, and building a data-driven culture that empowers decision-making.

SYED SAJID HUSAIN
Change Manager, Department of Local Government, Sport and Cultural Industries

15.00PM AFTERNOON TEA

• Data Governance Frameworks: Implementing strong governance policies and processes to ensure high data quality and integrity, aligned with compliance and operational standards.
• Data Maturity Models: Using maturity models to assess the current state of data capabilities and creating structured plans to evolve data quality and reliability.
• Regulatory and Operational Alignment: Ensuring data quality supports both regulatory reporting and operational efficiency, minimizing risks, and improving decision-making.

BRUCE INNES
Head of Data Governance, Protection & Privacy, Uniting

Five questions for the panellists:

1. What are the most significant barriers to advancing data maturity in organizations today, and how can they be overcome?
2. How do you align your organization’s data strategy with its broader business goals to ensure long-term success?
3. What role does leadership play in fostering a data-driven culture, and how can executives be encouraged to prioritize data initiatives?
4. How can organizations effectively measure data maturity, and what steps can they take to progress from basic to advanced stages?
5. What are the emerging trends and technologies that will shape the future of data maturity and how should organizations prepare for them?

CONFIRMED PANELLISTS:

THERESA ANDERSON
Data Integration and Data Science for Urban Life and Smart Cities Task Force, Committee on Data for Science and Technology

ANDREW SMAILES
Executive Director, Raedan Exchange

PHILLIP WISE
Director, Data Improvement and Analysis, Safe Work Australia

JEFFREY POPOVA-CLARK
Principal & Founder, dataanalytics.com

Chair’s closing remarks followed by networking drinks

1 HOUR NETWORKING DRINKS