Boards approve AI strategy, then open requisitions against a generic taxonomy.
Each archetype carries its own comp band, reporting line, and skill signature. The guide names every role in full.
| Archetype | Strat | ML | MLOps | Data | Gov | Prod |
|---|---|---|---|---|---|---|
| Chief AI Officer | E | F | F | P | E | P |
| Head of AI Strategy | ||||||
| AI Product Manager | ||||||
| ML Engineer | ||||||
| + 8 more archetypes |
E=Expert · P=Proficient · F=Foundational
Eleven more cards, unredacted in the toolkit.
Scores feed a priority scorecard that builds your hiring sequence.
The same six inputs, scored differently, produce three different hiring plans.
Composite organizations, not specific clients.
The reference guide specifies the framework. The working Sheet turns your inputs into a live hiring sequence.
Copy the Sheet into your Drive, fill six dropdowns, and watch the hiring sequence build itself.
The working instrument for designing the AI function.
For context. A CAIO search often runs $50K to $150K and ninety-plus days. A misfire at day forty-four costs more. The toolkit works upstream, for $195 once.
The toolkit answers which roles. The companion brief, Workforce 2030, answers why now, open reading in the library.
Both. Fill six dropdowns and the Priority Scorecard ranks archetypes into a Q1-Q4 plan automatically.
Generic lists name archetypes; this sequences them by your six scores. It also catches the most common error: skipping the Bridge cluster.
Yes. Composite Two, a $12B-AUM financial firm, hires governance before delivery.
The reference guide, all twelve archetypes, and the working Sheet. Access opens right after purchase.
Built for one sitting: a board meeting or a search-firm briefing.