[Online] A Chief Data & AI Officer's take on Industrialising AI: Moving from the Lab to the P&L

​Continuing our DPM webinar series aimed at upskilling & knowledge-sharing, we're joined by Andy Sutton - CDAO at Endeavour Group, bridging AI hype and P&L reality at Australia's largest hospitality business!

​Most data leaders still sell their boards a two-year platform build before a single use case ships. Andy Sutton took the opposite bet at Endeavour Group — getting just enough platform in place to start delivering, then building the data as the use cases demanded it. Three years in, his team of 150 has delivered measurable, tangible value from AI across pricing, operations, and personalisation.

​In this session Andy will walk through the Business Partner model (and when to make it permanent vs project-based), how to win trust with internal stakeholders you can't fire, and the mindset shifts that separate requirements-takers from value-drivers.

​Andy Sutton leads the Data and AI function at Endeavour Group (Australia's largest hospitality business). He helps the leadership team and C-Suite bridge the gap between technical hype and P&L reality.

​What we'll unpack

• ​How Endeavour's data team moved AI out of the lab and into the core of the business

• ​The Business Partner model: when to make it permanent vs project-based

• ​How to win trust with internal stakeholders you can't fire

• ​The mindset shifts that separate requirements-takers from value-drivers

• ​The traps Andy has fallen into — and how to avoid them

​What you'll walk away with

• ​A practical model for embedding data close to business decisions

• ​Tactics for winning stakeholder trust without formal authority

• ​A clearer sense of what “delivering value” actually means at enterprise scale

• ​Honest lessons from someone who has built this at scale

​Perfect for: data leaders, product managers, and anyone responsible for turning AI investment into measurable business impact.

​We hope to see you there!

​About our speaker

​Andy Sutton leads the Data and AI function at Endeavour Group (Australia's largest hospitality business). He helps the leadership team and C-Suite bridge the gap between technical hype and P&L reality. His team industrialises AI — moving it out of the lab and into the core of the business — to drive measurable incremental revenue through hyper-personalisation, data-enabled merchandising, and operational efficiency. His approach is built on a 15-year foundation in UK financial services at Lloyds Bank and Legal & General. Having started on the tools as an analyst before moving into executive leadership, he brings a rare combination of technical empathy, people focus, and banking-grade rigour — ensuring AI strategies are grounded in governance, risk management, enterprise reliability, and value delivery.

​How to join

​This livestream will be held privately inside our new digital space!

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​About the Data & AI Product community

​Data and AI product management is still a young discipline, and there aren't many spaces dedicated to learning from peers.

​So we started this meetup in 2023 to change that! Since then, it's grown into a vibrant community with chapters in London, Barcelona, and Paris.

​Whether or not "product" is in your job title, if you're involved in shaping data, analytics, and AI initiatives (e.g. product managers, strategists, BAs, data scientists, engineers, analysts) you'll find like-minded people here.

​This is an informal, welcoming space to swap lessons, share challenges, and enjoy drinks and snacks along the way 😊

​You can meet us in person at our in-person meetups, but also join our global community where we have expert webinars, training courses, job postings, resources, and discussions.

​Quick FAQ

• ​Will this event be recorded? Yes, we will upload the recording here, along with previous DPM Community webinars

• ​If I sign up to this event, will I be opting into any marketing emails? No. We only use the Luma mailing list to invite you to upcoming community events and share community updates (like our end of year membership survey). You can always opt out of the Luma calendar.

• ​Can I mention this to a friend or colleague? Yes, of course! If they're based in London, send them this event. If they're not, it might be better to send them the LinkedIn Live link directly, so they don't get invited to all our in-person meetups too.

• ​Why are you doing this? Data & AI Product Management is a nascent field, and we created this community to bring together practitioners and help share our skills and experiences with those newer to DPM.