For years, I was confused by data org models.

Centralized, hub & spoke, mesh...

Everyone had strong opinions.
But I didn't understand what actually works.

Until it finally clicked for me:

You don’t need a PhD in operating models.

👉 You need four things:

1. Define the right roles.
   Ownership and responsibilities must be clear

2. Place them intentionally.
   Some roles belong in the business, some on the data team.

3. Get the ratios right.
   A lone analyst supporting 12 teams? Burnout incoming.

4. Start centralized.
   It's way easier to decentralize once you have trust, tooling, and maturity.

That’s the game.

Clear roles. Thoughtful placement. Healthy ratios.

And patience: decentralization is earned, not assumed.

Want to design a data org that actually works?

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♻️ Repost if “We’re going decentralized” was followed by 6 months of chaos.