Senior Knowledge Engineer Lead - Insurance, CMT, Retail

Accenture PLC; Austin (TX); On-site; USD 139,000 - 434,000; Full time

Job summary

Accenture is seeking an Associate Director to lead the industry digital-brain discipline within your vertical. You will own the ontology design, industry patterns, and lifecycle management as markets shift, while serving as the industry voice in executive discussions and client engagements.

Travel may be required; the role emphasizes owning a methodology, translating domain knowledge into data products and AI use cases, and collaborating with executives to drive AI-enabled outcomes.

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.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).

Responsibilities

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

Skills

Knowledge graphs

Taxonomies

AI use cases

Executive-level collaboration

Product ownership

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Job description

Accenture is seeking an Associate Director to lead the industry digital-brain discipline within your vertical. You will own the ontology design, industry patterns, and lifecycle management as markets shift, while serving as the industry voice in executive discussions and client engagements.

Travel may be required; the role emphasizes owning a methodology, translating domain knowledge into data products and AI use cases, and collaborating with executives to drive AI-enabled outcomes.