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DL

Knowledge Architect

Digital Leadership AG
Posted 1 weeks ago
🌍Europe🏠Remote📁Engineering & Development
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Remote (but must be based in Europe !) · Full-time · Senior (non-C-level) · Equity package


We're building UNITE — the Strategy-to-Outcome Platform, and with it a new market category. On a validated body of methods (Wiley bestseller, 100,000+ users, 200+ executable frameworks, our own ontology), companies design the right strategy and carry it to outcome — method-guided, deterministic, auditable.


We're looking for the Knowledge Architect: the deepest methods expertise in the house — academically grounded, practically proven. You build the methodological core, make it machine-executable, and support our enterprise pilots hands-on with customers. No C-title, no line management — your leverage is depth.


Your mandate

  • Deepen and extend the methods corpus: sharpen frameworks for AI-executability, derive new ones in priority domains (Data & AI, Change, Org Design), and integrate each into the UNITE ontology — every field unambiguous, every connection explicit.
  • Own methodological quality for the Results Engine: review AI outputs and set the standard — MECE, crisp definitions, ontological consistency.
  • Support the enterprise pilots (from October) hands-on: capture customer needs, translate them methodically, safeguard output quality — where academia meets practice.
  • From validated pilots (2027) you can shape an enablement/academy function; your home stays the methods core.


Compensation: substantial equity with milestone vesting, cash below corporate scale. If you need a corporate package: wrong role.


Must-haves

  • Deep methods competence across several domains (strategy consulting, enterprise architecture, transformation delivery) — breadth over a single specialism
  • Strong research track record, PhD a big plus.
  • Academia ↔ practice bridge: you've worked scientifically AND delivered real projects with customers.
  • You decompose complexity MECE into machine-readable formats and write crisp definitions — for humans and machines alike.
  • Computational linguistics: a big plus and especially relevant here — ontology design, term disambiguation, structured knowledge representation.
  • AI-assisted working as your daily mode; fluent English. Remote first, but based in Europe so we can meet in person now and then.


Process: screening call → practical task on real material (one week) → references → offer.

We move fast.

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