Senior Knowledge Graph Architect & Strategy Lead

Accenture

Des Moines (IA)

Hybrid

USD 150,000 - 260,000

Full time

2 days ago
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Job summary

Accenture seeks a Senior Ontologist and Knowledge Architecture Lead to own semantic modeling strategy, governance, and the technical direction of a cross-functional team spanning business stakeholders, data engineering, and AI/ML disciplines. This hybrid role involves travel to client sites, with a substantial focus on enterprise ontology design and governance.

The role requires deep ontology engineering experience, leadership in setting standards, and collaboration with NLP/AI teams to

Qualifications

  • 12+ years hands-on ontology engineering or knowledge modeling experience.
  • 12+ years ownership/delivery of production-grade ontologies in large environments.
  • Leadership role with responsibility for standards, team development, and roadmap ownership.
  • Bachelor’s, Master’s, or PhD in a related field.

Responsibilities

  • Own end-to-end ontology lifecycle from requirements to stewardship.
  • Define enterprise ontology architecture and URI/versioning strategies.
  • Lead alignment between domain ontologies and enterprise assets.
  • Oversee ontology governance, reviews, and sign-offs with stakeholders.
  • Lead SME workshops and translate modeling decisions for non-technical audiences.
  • Partner with NLP/AI teams on ontology-guided information extraction and features.

Skills

Ontology
Knowledge modeling
Semantic web
NLP/AI integration
Stakeholder leadership

Education

Bachelor's/Master's/PhD in Information Science/CS/Library Science/Linguistics/Philosophy

Tools

OWL 2
RDF
RDFS
SKOS
SHACL

Job description

Accenture seeks a Senior Ontologist and Knowledge Architecture Lead to own semantic modeling strategy, governance, and the technical direction of a cross-functional team spanning business stakeholders, data engineering, and AI/ML disciplines. This hybrid role involves travel to client sites, with a substantial focus on enterprise ontology design and governance.

The role requires deep ontology engineering experience, leadership in setting standards, and collaboration with NLP/AI teams to

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