Knowledge Graph Architect & Strategy Lead

Accenture

Houston (TX)

Hybrid

USD 180,000 - 260,000

Full time

24 hours ago
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Benefits offered by this job

Medical benefits
401(k) plan
Paid holidays and PTO

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 the technical direction of a cross-functional team across business, data engineering, and AI/ML disciplines.

This hybrid role requires travel and collaboration with business and AI teams to deliver scalable solutions.

Qualifications

  • 12+ years hands-on ontology engineering experience.
  • Experience owning production-grade ontologies in complex enterprise environments.
  • Lead role with responsibility for technical standards, team development, and roadmap ownership.
  • Bachelor’s or Master’s degree (or PhD) in Information Science, Computer Science, Library Science, Linguistics, Philosophy, or a related field.

Responsibilities

  • Own the end-to-end ontology lifecycle from requirements to deployment.
  • Define enterprise ontology architecture and alignment with upper ontologies.
  • Lead mapping of relational data into semantic frameworks (R2RML/RML).
  • Oversee knowledge graph hydration, integration testing, and validation pipelines.
  • Ensure ontological models align with governance and regulatory requirements.

Skills

Ontology engineering
Knowledge modeling
Semantic web
Leadership
Agile delivery

Education

Bachelor’s or Master’s degree in Information Science, Computer Science, Library Science, Linguistics, Philosophy

Tools

OWL 2
RDFS
SKOS
R2RML
RML

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 the technical direction of a cross-functional team across business, data engineering, and AI/ML disciplines.

This hybrid role requires travel and collaboration with business and AI teams to deliver scalable solutions.

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