Industry Knowledge Engineer Lead - Insurance, Retail, CMT

Accenture PLC; City of Albany (NY); On-site; USD 151,000 - 434,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid time off

Job summary

Accenture in New York is seeking an Associate Director to own the industry digital-brain discipline in your vertical, combining deep industry fluency with knowledge-engineering craft. You will define ontologies, patterns, and governance, while engaging with executives to translate domain knowledge into data products and AI use cases.

Travel may be required up to 0–100% depending on client needs. This senior technical track emphasizes owning a methodology and leading end-to-end knowledge products

Qualifications

• Minimum of 12 years in your industry, with at least 3 years translating domain knowledge into data products, ontologies, or AI use cases.
• Minimum of 5 years working alongside industry clients at the executive level (CTO / CDO / chief underwriting / chief merchandising, per vertical).
• Working fluency with knowledge graphs, taxonomies, and retrieval-augmented generation
• Minimum of 2 years of publishing or speaking publicly on AI in your industry.
• Minimum of 3 years owning a productized offering, platform, or methodology — not just consulting within one.

Responsibilities

• Industry discovery and baseline, super-ontology design and build, lifecycle management as regulation and markets shift — yours to defend and evolve.
• The industry ontology itself, the vertical agent patterns, the regulatory hooks — assets that compound engagement over engagement.
• You are the named industry voice — analyst conversations, industry councils, the public argument for encoded industry knowledge as competitive moat.

Skills

Knowledge graphs

Taxonomies

Retrieval-augmented generation

Public speaking

Education

Bachelor's degree or equivalent

Tools

Ontology design tools

Job description

Accenture in New York is seeking an Associate Director to own the industry digital-brain discipline in your vertical, combining deep industry fluency with knowledge-engineering craft. You will define ontologies, patterns, and governance, while engaging with executives to translate domain knowledge into data products and AI use cases.

Travel may be required up to 0–100% depending on client needs. This senior technical track emphasizes owning a methodology and leading end-to-end knowledge products