Skills for Data & AI Managing positions
summary
First-week checklist with concrete steps: learn where the team and projects came from, meet the team and hold 30-minute one-on-ones, meet the boss and gather priorities, then synthesize a Venn-style overview of alignment and gaps. Protect makers by minimizing interruptions and schedule calendar / to-do / inbox / notes as separate systems. Use Coursera or Personal MBA resources, timebox email (morning, lunch, evening), disconnect at week’s end, and track action items from the Friday review. Management demands end-to-end understanding, empathy, low ego, and structured routines rather than pure technical skill.
AI-written summary · about
chapters (10)
- 0:00Start
- 4:19Executive summary
- 9:08Good and bad reasons for becoming a manager
- 10:12Again...why this lecture?
- 12:23If you do not want to fail...
- 14:01Management and leadership
- 17:43Task one - learn your environment
- 19:05Task two meet your team
- 22:47Task four-create overview
- 27:07Thank you for your time
related talks
29mBeyond FOMO — Keeping Up-to-Date in AI
01h 25mTask management for Data Professionals Ensuring clarity, timeliness & Impact
31mAI Skills Beyond Developing
23mData engineering team leads
31mTaking Career to the next level
31mThings I Wish I Knew When I Became a Manager
29mStarting a new job as a Staff+
49mWelcome to Management - Tips and Tricks for Junior Leaders
