Skip to main content

Search TrendsNew Ads Appearances Podcasts API

We value your privacy

We use cookies to understand how you use our platform and to improve your experience. Click “Accept All” to consent, or “Decline non-essential” to opt out of non-essential cookies. Read our Privacy Policy.

Stacked Data Podcast

Stacked Data Podcast

048- Building for Betting: Why FDJ United Built Their Own Data Platform Instead of Buying One

Sep 2, 2026 · 50 min · 14 segments

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…

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 sportsbook platform is one of the most technically demanding things you can build - Why Phil built FDJ's data platform in-house instead of buying one - Phil's four-part test for what actually makes something a "data product" - The three failure modes he's seen most often in data mesh adoptions - Why AI is "fundamentally an amplifier," and what "governance debt" means for teams trying to get ahead of it

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…

Speakers: Phil GoddardGuestHarry GolubHost

Top entities: FDJ United×15 Artificial intelligence×4 Sportsbook×6 FIFA World Cup×2 Governance

AI Amplifies Data Foundations0:00 – 1:01

Phil GoddardGuest

0:00

You change your platform, but a lot of the problems don't go away.

Phil GoddardGuest

0:03

It's too easy to focus and blame the challenges around tooling.

Phil GoddardGuest

0:08

Where you need to be looking, in my opinion, is around that culture, is around the identity, is around the operating model of your data organization.

Phil GoddardGuest

0:17

A platform transformation doesn't necessarily address those fundamental questions.

Phil GoddardGuest

0:21

Especially now, while we're in this era, a really exciting era of AI and genetic technology is starting to take off.

Phil GoddardGuest

0:28

You know, there's more tools, there's more technology.

Phil GoddardGuest

0:30

AI is fundamentally an amplifier.

Phil GoddardGuest

0:32

It will amplify what is there, be it good or be it bad.

Phil GoddardGuest

0:36

So...

Phil GoddardGuest

0:37

If you have strong foundations, clear ownership, embedded governance, you will find very quickly that AI accelerates value.

Phil GoddardGuest

0:45

If you have the opposite, AI is just going to accelerate chaos.

Phil GoddardGuest

0:50

I strongly believe that opportunities exist and the shift towards AI-native engineering practices are going to deliver benefits around delivery speeds, around quality, around organizational effectiveness.

Read the full transcript.

Create an account to read the whole episode, search across every transcript, and follow the shows you care about.

Sign up Already have an account? Log in

FDJ UnitedCompanyCompany
97%15 mentions
Artificial intelligenceEntityProfessional field
92%4 mentions
SportsbookEntity
86%6 mentions
FIFA World CupSports OrganizationFootball competition
81%2 mentions
GovernanceEntity
75%1 mention
SynthesiaCompanyArtificial intelligence company
69%2 mentions
SnowflakeCompanyComputer software company
64%2 mentions
Eric EvansEntitySoftware designer
58%2 mentions
FrenchLanguageSpoken language
53%2 mentions
AustraliaCountryCountry in Oceania
47%1 mention
FTSE 100 IndexEntityStock index
42%1 mention
DatabricksCompanySoftware company
36%3 mentions
Performance indicatorEntity
31%2 mentions
TeradataCompanyCompany
25%2 mentions
ClouderaCompanySoftware company
19%1 mention
HortonworksCompanySoftware company
14%1 mention
Google Cloud PlatformSoftware ApplicationComputer application
6%1 mention
Microsoft AzureSoftware ApplicationComputer application
6%1 mention

Product DevelopmentBusiness > Data Science > Data Management
AccountabilityBusiness > Data Science > Data Management > Product Development
Real-time ProcessingTechnology > Data Engineering > Data Platforms
Data ProductsTechnology > Data Engineering > Data Platforms > Real-time Processing
Recommendation SystemsBusiness > Data Science > Machine Learning
Product OutcomesBusiness > Data Science > Machine Learning > Recommendation Systems
Organizational ModelsBusiness > Data Strategy
DecentralizationBusiness > Data Strategy > Organizational Models
Data MeshBusiness > Data Strategy > Organizational Models > Decentralization
AutomationTechnology > Artificial Intelligence > Governance > Data Quality
GovernanceTechnology > Artificial Intelligence
Machine LearningBusiness > Data Science
Data ManagementBusiness > Data Science
Data EngineeringTechnology
Data StrategyBusiness
Data PlatformsTechnology > Data Engineering
Data ScienceBusiness
Technology
Business
Artificial IntelligenceTechnology
Data QualityTechnology > Artificial Intelligence > Governance

AI Amplifies Data Foundations0:00 – 1:01

Phil GoddardGuest

0:00

You change your platform, but a lot of the problems don't go away.

Phil GoddardGuest

0:03

It's too easy to focus and blame the challenges around tooling.

Phil GoddardGuest

0:08

Where you need to be looking, in my opinion, is around that culture, is around the identity, is around the operating model of your data organization.

Phil GoddardGuest

0:17

A platform transformation doesn't necessarily address those fundamental questions.

Phil GoddardGuest

0:21

Especially now, while we're in this era, a really exciting era of AI and genetic technology is starting to take off.

Phil GoddardGuest

0:28

You know, there's more tools, there's more technology.

Phil GoddardGuest

0:30

AI is fundamentally an amplifier.

Phil GoddardGuest

0:32

It will amplify what is there, be it good or be it bad.

Phil GoddardGuest

0:36

So...

Phil GoddardGuest

0:37

If you have strong foundations, clear ownership, embedded governance, you will find very quickly that AI accelerates value.

Phil GoddardGuest

0:45

If you have the opposite, AI is just going to accelerate chaos.

Phil GoddardGuest

0:50

I strongly believe that opportunities exist and the shift towards AI-native engineering practices are going to deliver benefits around delivery speeds, around quality, around organizational effectiveness.