In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Mario Meir-Huber — author of Designing Data Products and longtime data leader — to talk about what happens when you stop treating data like a one-time project and start managing it as a product that evolves.

Mario shares the (literal) honeymoon moment that sparked the book, and explains why great data products require more than architecture. They need governance, people, and a design mindset built for continuous change.

Together, they explore:

• Why the GAP (Governance, Architecture, People) is often what makes or breaks a data product

• The reason data products should be managed as living processes, not one-off projects

• How poor metadata management slows everything down, and why it’s critical for AI

• What business leaders really want from data, and why simplicity wins

• Where data products are headed next, especially in an AI-first world

🎧 Tune in for a conversation about the human, technical, and strategic layers behind successful data products — and why we all need to start thinking more like product managers.

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