Knowledge Graph & Ontology Manager

Accenture PLC; San Diego (CA); 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

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Manager/Senior Manager to lead industry digital-brain delivery, including ontology design (Knowledge Graph and Data Taxonomy) and lifecycle management for client engagements. Travel may be required, up to 100% depending on client needs.

The role requires 5+ years in knowledge engineering/data work, 2+ years in relevant domain experience, and hands-on experience with AI/LLM-based technologies within agile teams. A Bachelor's degree or equivalent is required.

Qualifications

• Minimum 5 years in knowledge engineering, data modeling, or industry data work, with 1–2 years on AI/LLM-based work.
• Minimum 2 years of domain experience in insurance, communications & media, or retail.
• Fluent with knowledge-graph technologies and retrieval-augmented generation.

Responsibilities

• Lead industry digital-brain delivery on a client engagement: discovery and baseline of industry-specific patterns, ontology design and build (Knowledge Graph and Data Taxonomy).
• Lifecycle management that keeps an industry engine current.
• Hold authority across engagements in the vertical at Senior Manager level.

Skills

Knowledge engineering

Data modeling

AI/LLM experience

Team leadership

Agile methodologies

Education

Bachelor's degree or equivalent

Tools

Knowledge Graph

Retrieval-Augmented Generation

Job description

Accenture is seeking a Manager/Senior Manager to lead industry digital-brain delivery, including ontology design (Knowledge Graph and Data Taxonomy) and lifecycle management for client engagements. Travel may be required, up to 100% depending on client needs.

The role requires 5+ years in knowledge engineering/data work, 2+ years in relevant domain experience, and hands-on experience with AI/LLM-based technologies within agile teams. A Bachelor's degree or equivalent is required.