Chief Data Officers from Nine, Macquarie, and NBN reveal how embedded governance, strategic alignment, and early AI exploration drive real value at Data & AI Edge.
In this panel discussion, Suzie Cardwell – Chief Data, Product and Technology, Enterprise at Nine, Damian Brennan – Division Director, AI and Data Analytics at Macquarie Group, and Sonia Boije – Chief Data Officer at NBN) share how they are building data-driven organisations and embedding meaningful AI across complex environments.
Sonia explains how simplifying and modernising data systems must go hand in hand with AI integration. Embedding data governance into the business, rather than treating it as an IT function, is essential.
By introducing data product owners and a federated model supported by active data councils, NBN shifted accountability into business units, which accelerated adoption and delivered greater value.
Sonia emphasises the importance of aligning governance with business priorities and taking a practical, outcome-focused approach to standards.
Suzie brings a commercial lens, stating that data strategy must be anchored in organisational strategy.
At Nine, she uses data to drive customer understanding across both consumer and advertiser audiences, with measurable outcomes such as engagement and targeted advertising.
She describes overcoming siloed data challenges by consolidating warehouses and implementing a customer data platform, resulting in a single customer view and cross-business insights.
This helped build executive appetite for data-driven initiatives.
With the media landscape undergoing continuous change, Suzie notes that leaders must embrace transformation or risk falling behind.
Damian highlights Agentic AI as a platform shift on par with mobile and cloud.
Though still emerging, its potential lies in enhancing employee experience and, in turn, customer outcomes.
Agentic AI helps reduce friction in inconsistent or undocumented processes.
At Macquarie Group, success depends on both grassroots innovation and executive alignment.
Investments should align with strategic business goals rather than chasing novelty.
Trust, communication, and business relevance are critical for embedding AI at scale.
Key takeaways
- Embed governance inside the business – Shifting ownership from IT to business functions through data product owners and federated models enables faster adoption and stronger alignment.
- Tie data and AI to outcomes – Aligning data initiatives with business and customer metrics builds credibility and drives executive-level support in fast-moving sectors.
- Approach Agentic AI with purpose – Start with early exploration that improves employee and customer experience. Prioritise trust and strategic relevance over hype.