A field guide · 11 chapters · 1,700 XP
Becoming an
AI Tech Lead.
A step-by-step path through the hard skills, soft skills, governance and operating model you need to lead AI across teams and business units. Read the chapter, check off the work, pass the quiz, and watch your progress build.
Contents
11 chapters- 00
What an AI Tech Lead actually is
Four hats, one mandate, and why “cross” is the hard part.
8 min · 100 XP
Read → - 01
Hard skills
From “tool user” to someone who can make the architecture & risk calls.
14 min · 150 XP
Read → - 02
Soft skills — the real job
Influence, translation, evangelism with substance, coaching at scale.
12 min · 150 XP
Read → - 03
Governance, risk & compliance
Your superpower at a regulated insurer (EU AI Act · DORA · GDPR).
14 min · 200 XP
Read → - 04
The operating model across teams & BUs
Hub-and-spoke: centralize standards, decentralize the building.
9 min · 150 XP
Read → - 05
Measuring success
If you can't measure it, you can't lead it — or defend the role.
9 min · 150 XP
Read → - 06
The phased plan (now → 12 months)
Listen → quick win → paved road → scale → strategic.
11 min · 200 XP
Read → - 07
Learning resources
Depth over breadth — pair every concept with building something.
7 min · 100 XP
Read → - 08
Failure modes to avoid
The traps that quietly sink AI leads.
8 min · 150 XP
Read → - 09
Cadence & artifacts
The rhythm you run, and the portfolio of leverage you build.
9 min · 150 XP
Read → - 10
Shaping the role itself
Do this first — a fuzzy new role with no charter is a trap.
8 min · 200 XP
Read →