Industry Knowledge Engineering Leader – Insurance/Retail

Accenture PLC

Milwaukee (WI)

Vor Ort

USD 151.000 - 434.000

Vollzeit

vor 38 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

401(k) plan
Medical, dental, vision insurance
Paid holidays & paid time off

Zusammenfassung

Accenture is seeking a senior leader to own the industry digital-brain discipline within a vertical. This role focuses on designing scalable ontologies, managing lifecycle risk, and shaping a knowledge-driven AI strategy with clients.

The Associate Director will work with executives to translate domain knowledge into reusable data products, engage with frontier AI labs, and guide multi-stakeholder efforts to deliver measurable outcomes at scale.

Qualifikationen

  • Minimum of 12 years in your industry
  • Minimum of 5 years working with industry clients at executive level
  • Fluency with knowledge graphs, taxonomies, retrieval-augmented generation
  • Minimum of 2 years publishing or speaking on AI in your industry
  • Minimum of 3 years owning a productized offering or platform
  • Bachelor's degree or equivalent work experience

Aufgaben

  • Own the industry digital-brain discipline in your vertical as technical lead
  • Oversee industry discovery, baseline, and lifecycle management as markets shift
  • Develop and maintain the industry ontology, vertical patterns and regulatory hooks
  • Serve as the named industry voice in analyst conversations and public discourse

Kenntnisse

Knowledge graphs
Executive client engagement
AI knowledge
Ontology design

Ausbildung

Bachelor's degree

Jobbeschreibung

Accenture is seeking a senior leader to own the industry digital-brain discipline within a vertical. This role focuses on designing scalable ontologies, managing lifecycle risk, and shaping a knowledge-driven AI strategy with clients.

The Associate Director will work with executives to translate domain knowledge into reusable data products, engage with frontier AI labs, and guide multi-stakeholder efforts to deliver measurable outcomes at scale.

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