Theo Gough

Data & Analytics, Head of Strategy, Governance & Experimentation Enablement Just Eat Takeaway.Com

Conference Day 1: Tuesday 13th October 2026

9:00 AM Opening Panel Discussion: Embedding Data Product Thinking Across the Business to Drive Adoption and Better Decisions

Many organisations invest heavily in platforms and tools but struggle to realise value due to cultural resistance and misaligned incentives. This panel explores how enterprises manage the cultural shift required to support data products, AI adoption, and new ways of working, particularly across functions that have not traditionally engaged deeply with data.

 Aligning incentives and behaviours to support product thinking

 Embedding data and AI into everyday decision making

 Supporting organisation wide adoption through culture and leadership

2:30 PM Presentation: From Teams to Products: Redefining Ownership, Flow, and Collaboration at Just Eat Takeaway

At Just Eat Takeaway, data products have become more than a delivery model, they are a way to redefine how teams work together. As demand for data grows, the challenge shifts from building solutions to managing ownership, flow, and accountability across engineering, analytics, and business teams. Theo Gough shares how applying product thinking to data is reshaping the operating model, introducing clearer boundaries, reducing friction, and enabling teams to move from reactive delivery to more structured, collaborative ways of working.

 Defining ownership and accountability by introducing data products as bounded units with clear responsibilities and service expectations

 Enabling collaboration across engineering, analytics, and business teams through shared contracts and product-led workflows

 Managing demand and improving delivery flow by shifting teams from reactive execution to structured, product-driven approaches

3:30 PM Panel Discussion: Maintaining Trust, Security and Control as Data Products, Self Service and AI Scale

As data products, self service access, and AI adoption expand, governance complexity increases significantly. This panel brings together data, governance, and risk leaders to discuss how governance models evolve to support scale, automation, and regulatory pressure while still enabling teams to deliver at pace.

 Scaling governance across products, platforms, and AI workloads

 Aligning data, risk, and compliance teams around shared objectives

 Maintaining trust and control as data usage expands

Check out the incredible speaker line-up to see who will be joining Theo.

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