# How to Structure Your Data Team for Maximum Influence

DevFeed: [How to Structure Your Data Team for Maximum Influence](<https://devfeed.tech/articles/how-to-structure-your-data-team-for-maximum-influence-1425.md>)

Original publisher: [Read original article](<https://shopify.engineering/how-to-structure-data-teams>)

Author: Levi Bowles

Published: 2022-10-20T17:00:06Z

Content type: article

Language: en

Sources: [Shopify Engineering](<https://devfeed.tech/sources/shopify-engineering.md>), [Shopify Engineering - Shopify Engineering](<https://devfeed.tech/sources/shopify-engineering-shopify-engineering.md>)

Topics: [Data Science](<https://devfeed.tech/topics/data-science.md>), [Frameworks](<https://devfeed.tech/topics/frameworks.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [business](<https://devfeed.tech/tags/business.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [frameworks](<https://devfeed.tech/tags/frameworks.md>), [growth](<https://devfeed.tech/tags/growth.md>), [strategy](<https://devfeed.tech/tags/strategy.md>), [teams](<https://devfeed.tech/tags/teams.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

## AI overview

This article examines how to structure data science teams that serve multiple product and business areas. It reviews common organizational frameworks and presents guiding principles for improving efficiency, stakeholder clarity, influence, stability, professional growth, and flexibility.

## Source excerpt

We share the framework that's worked best for structuring our data teams and that's empowered them to influence business decisions and drive impact.