Knowledge Graph Architect & Ontology Strategy Lead

Accenture

Seattle (WA)

Hybrid

USD 174,000 - 381,000

Full time

11 days ago

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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
Life insurance
Long‑term disability
401(k)

Job summary

Accenture is seeking a Senior Ontologist and Knowledge Architecture Lead to own the design, governance, and delivery of enterprise knowledge graph initiatives. You will lead semantic modeling, ontology governance, and cross‑functional collaboration across business, data engineering, and AI/ML teams.

Responsibilities include end‑to‑end ontology lifecycle management, architecture definition, and A‑Box hydration patterns.

Qualifications

  • 12+ years hands-on ontology engineering or knowledge modeling experience.
  • Proven experience delivering production-grade ontologies in enterprise or large consulting settings.
  • Lead role with responsibility for standards, team development, and roadmap ownership.

Responsibilities

  • Own ontology lifecycle: requirements, modeling, formal spec (OWL 2, RDFS, SKOS), validation and deployment.
  • Define enterprise ontology architecture and URI/versioning standards; align with upper ontologies (BFO, DOLCE, schema.org).
  • Lead governance: change management, quality gates (SHACL/ShEx), Definition of Done, peer reviews.
  • Lead business SME workshops; translate modeling decisions for non-technical audiences; align with stakeholders.
  • Collaborate with NLP/AI teams to guide ontology-informed feature engineering and integration.
  • Mentor ontologists and semantic analysts; manage delivery timelines and risks.

Skills

Ontology engineering
Knowledge modeling
Semantic web
Leadership
Agile delivery
Stakeholder management

Education

Bachelor's or Master's degree

Tools

OWL/RDF/SKOS tooling

Job description

Accenture is seeking a Senior Ontologist and Knowledge Architecture Lead to own the design, governance, and delivery of enterprise knowledge graph initiatives. You will lead semantic modeling, ontology governance, and cross‑functional collaboration across business, data engineering, and AI/ML teams.

Responsibilities include end‑to‑end ontology lifecycle management, architecture definition, and A‑Box hydration patterns.

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