Industry Knowledge Graph Lead for AI Delivery

Accenture PLC; Nashville (TN); On-site; USD 94,000 - 294,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability coverage

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture plc is seeking a Manager/Senior Manager level professional to lead industry digital-brain delivery for client engagements. You will drive discovery, ontology design, and the implementation of Knowledge Graphs and data taxonomies, guiding teams through lifecycle management to keep industry engines current.

Travel may be required. The ideal candidate has extensive experience in AI/LLM projects, strong domain knowledge in target industries, and a proven ability to lead cross-functional

Qualifications

• 5+ years in knowledge engineering, data modeling, or industry data work.
• 2+ years domain experience in insurance, communications & media, or retail.
• Knowledge-graph technologies and retrieval-augmented generation experience.
• 2+ years leading a team or workstream.
• 4+ years in agile engineering or consulting contexts.
• Bachelor’s degree or equivalent work experience.

Responsibilities

• Lead industry digital-brain delivery on a client engagement.
• Drive discovery and baseline of industry-specific patterns and ontology design.
• Build and maintain Knowledge Graph and Data Taxonomy.
• Oversee lifecycle management to keep industry engine current.

Skills

Knowledge engineering

Data modeling

AI/LLM experience

Team leadership

Agile experience

Education

Bachelor’s degree or equivalent

Tools

Knowledge Graph technologies

Retrieval-augmented generation

Job description

Accenture plc is seeking a Manager/Senior Manager level professional to lead industry digital-brain delivery for client engagements. You will drive discovery, ontology design, and the implementation of Knowledge Graphs and data taxonomies, guiding teams through lifecycle management to keep industry engines current.

Travel may be required. The ideal candidate has extensive experience in AI/LLM projects, strong domain knowledge in target industries, and a proven ability to lead cross-functional