Table of Contents

  1. Data transformation
  2. Data testing
  3. Implementations + deployment
  4. Documentation + metadata
  5. The modern data stack
  6. Data dream teams

Run your data team as a product team

Emilie has spent her career scaling Data & Analytics functions, while being responsive to the hypergrowth of the business. Today, she leverages her data skills as the Senior Engineering Manager, Data and Business Intelligence at Netlify. She is a contributor to many open source projects including dbt, Meltano, and GitLab. When not at her day job, Emilie can be found in her local CrossFit box or volunteering with Operation Code, codebar, TechSAV, or MilSpouse Coders.

Taylor is a data geek who loves increasing efficiency, transparency, and value with data. His background is in Chemical and Biomolecular Engineering, but he learned he loves computers and data more while working as a Data Scientist. When not munging or analyzing data, he enjoys being outdoors with his wife and sons, reading, writing, playing ultimate frisbee, playing with his dogs, and learning about anything related to space.

Originally presented on 2020-12-12

Data teams can significantly improve their stature and abilities in an organization, when they work with a product mindset. Product teams typically have UX experts, Designers, Product Managers, Engineering Managers and more, involved in the process of generating new features that will delight their customers.

In this talk, we'll argue that Data teams should take on a very similar mindset when leading and growing their data org. We'll make the case that this mindset can scale from a single person team to a large organization. We'll share what this looks like on the ground and in the day to day.

Attendees will be able to walk away feeling empowered about the vital role the data team should — and can — play in every organization. They will explore a new mental framework for how to think about all of the data related activities in their organization.

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