Industry Knowledge Engineering Leader — Insurance/Retail

Accenture PLC; Chicago (IL); Vor Ort; USD 151.000 - 375.000; Vollzeit

Zusammenfassung

Accenture in Chicago is seeking a senior Associate Director to own the industry digital-brain discipline within your vertical. You will steer methodology, curate the industry ontology, and advocate encoded industry knowledge as a competitive moat.

You will lead with domain fluency, AI know-how, and executive-level collaboration, while travelling as required to meet client needs. 12+ years in the industry and 3+ years translating domain knowledge into data products are expected.

Qualifikationen

• Minimum 12 years in your industry; 3+ years translating domain knowledge into data products or AI use cases.
• Minimum 5 years collaborating with industry executives (CTO/CDO/etc.).
• Fluency with knowledge graphs, taxonomies, and retrieval-augmented generation.
• At least 2 years publishing or speaking publicly on AI in your industry.
• 3+ years owning a productized offering, platform, or methodology.

Aufgaben

• Own the methodology for the industry digital-brain discipline across your vertical.
• Own the asset portfolio: industry ontology, vertical patterns, regulatory hooks.
• Own the technical point of view as the industry voice in external forums.
• Travel may be required; travel percentage varies with client needs.

Kenntnisse

Industry knowledge in AI/data products

Knowledge graphs/taxonomies

Public speaking / publishing on AI

Productization / offering ownership

Executive stakeholder engagement

Ausbildung

Bachelor's degree or equivalent

Jobbeschreibung

Accenture in Chicago is seeking a senior Associate Director to own the industry digital-brain discipline within your vertical. You will steer methodology, curate the industry ontology, and advocate encoded industry knowledge as a competitive moat.

You will lead with domain fluency, AI know-how, and executive-level collaboration, while travelling as required to meet client needs. 12+ years in the industry and 3+ years translating domain knowledge into data products are expected.