We talked about:

Shir’s background
Debrief culture
The responsibilities of a group manager
Defining the success of a DS manager
The three pillars of data science management
Managing up
Managing down
Managing across
Managing data science teams vs business teams
Scrum teams, brainstorming, and sprints
The most important skills and strategies for DS and ML managers
Making sure proof of concepts get into production


Links:

The secret sauce of data science management: https://www.youtube.com/watch?v=tbBfVHIh-38
Lessons learned leading AI teams: https://blogs.intuit.com/2020/06/23/lessons-learned-leading-ai-teams/
How to avoid conflicts and delays in the AI development process (Part I): https://blogs.intuit.com/2020/12/08/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-i/
How to avoid conflicts and delays in the AI development process (Part II): https://blogs.intuit.com/2021/01/06/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-ii/
Leading AI teams deck: https://drive.google.com/drive/folders/1_CnqjugtsEbkIyOUKFHe48BeRttX0uJG
Leading AI teams video: https://www.youtube.com/watch?app=desktop&v=tbBfVHIh-38


Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html