HeyJaredStacked Data Podcast
It has become evident to me that many data teams are grappling with similar challenges. Learning from the experiences of others can be incredibly valuable, which is why I am thrilled to announce the launch of The Stacked Podcast.
- Indexed episodes, last 90 days
- 5
- Latest publication
- Sep 16, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 8, 2026
Latest episodes
049 - The Agentic Era: Why Data Leaders Are the Best-Equipped People to Own It (opens the original)
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Rich leads the data practice at AND Digital, and he's not buying into the "AI's coming for your job" panic. If anything, he believes everyone else in the business is about to need the exact skills data leaders already have. His argument is that data's moved through three distinct eras: warehousing, then impact and value, and now the agentic era, where the gap between having an insight and acting on it has basically closed. And this, he says, is the time for data leaders to step up and own that s
048- Building for Betting: Why FDJ United Built Their Own Data Platform Instead of Buying One (opens the original)
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Phil Goddard leads a 70-person data team on FDJ United's Sportsbook platform — one of the most technically demanding platforms out there, processing prices, bets and risk across thousands of markets in sub-second timeframes. Rather than buying a vendor platform, Phil built FDJ's in-house, and we dig into why: what actually makes something a "data product," where data mesh goes wrong, and how hub-and-spoke fits as the transition stage most teams are really in. We cover: * Why a real-time sportsbo
047 - From 13 to 60: Scaling Data Science at Skyscanner (opens the original)
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Jose Garcia didn't just grow Skyscanner's data organisation from 13 to around 60 people — he made sure impact grew with it, across the data science, marketing and ad tech teams he leads. We unpack the challenges of prioritising the right problems instead of the most interesting ones, building leadership layers that don't bottleneck through him, and why he thinks great data science has never really been about the models. We also get into how AI tools like Claude are beginning to change the skills
046 - Rebuilding Monzo's Data Warehouse from the Ground Up (opens the original)
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Monzo went from zero rules to one of the most opinionated data architectures in fintech — and cut warehouse costs by 40%+ doing it. Bruno Campos, Analytics Engineer at Monzo, joins Harry to unpack the rebuild of Monzo's entire data platform — tens of thousands of dbt models, hundreds of teams, one BigQuery warehouse, and a migration that's still only 30-40% done. Bruno breaks down Monzo's new "OOM" architecture: four fixed layers, data contracts between teams, and an internally-built tool (Model
045 - Wise: How a lean team of Analytics Engineers supports 300+ Analyst (opens the original)
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Most data orgs scale their AE team as they grow. Wise didn't. Moritz Kerstan runs a lean team of 17 supporting over 300 data practitioners — and he's got a clear thesis on why that's the right call. In this episode, we dig into how Wise structures their analytics engineering function, how the team operates without hierarchical authority, what good prioritisation actually looks like, and the honest truth about building with LLMs inside a large regulated fintech.
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