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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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Episode 22

How to Launch a Data Science Team Built for Scale

Data Science Leaders | 40:00 | October 06, 2021

Data Science Leaders: Mike Foley

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Mike Foley has been building data science teams from scratch since before they were called “data science” teams. His perspective on questions like “Where do I start?” or “How do I get buy-in?” can help leaders growing data science teams of any size avoid some pitfalls along the way.

Mike Foley has been building data science teams from scratch since before they were called “data science” teams. His perspective on questions like “Where do I start?” or “How do I get buy-in?” can help leaders growing data science teams of any size avoid some pitfalls along the way.

Currently the Senior Director of Data Science at Hitachi Vantara, Mike joined Dave for a conversation that goes deep into the steps required to stand up a data science practice. Plus, he shared what inspired him to go back to school, and gave listeners a unique peek into the world of marketing analytics.

This episode features Mike’s insight on:

  • Starting data science practices from scratch
  • The complexities of marketing analytics
  • The value of continuous learning

About the Show

Dave Johnson

Dave Johnson

Co-founder & CEO at Dash Bio

Episode 99June 03, 2026

The cave: pharma's data problem

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Cindy Tu

Director of IT & Data Audit, Capital One

Episode 98April 02, 2026

Turning governance into the “yes” guys

See why Fortune 100 data science leaders choose Domino

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Shub Agarwal

Founder, AI Trust Lab @ USC

Episode 97February 21, 2026

Building trust for transformation in enterprise AI

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