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

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Our events: https://datatalks.club/events.html