Ontology Product Owner for Knowledge Graphs

Tata Consultancy Services Limited

Los Angeles (CA)

On-site

USD 90,000 - 110,000

Full time

4 days ago
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Job summary

Tata Consultancy Services Limited in Los Angeles, CA, seeks a Product Owner for Ontology to drive the semantic roadmap, govern knowledge-graph standards, and align business needs with ontology governance, lineage, and quality metrics. Expertise in RDF/OWL/SKOS and related technologies is required.

The role partners with data engineering, architecture and compliance to map source systems, translate business needs into epics and acceptance criteria, and validate semantic models for AI agents and

Qualifications

  • Ontology and knowledge representation expertise including class hierarchies, relationships, taxonomies, and controlled vocabularies.
  • Experience with RDF/OWL/SKOS/SHACL/SPARQL and graph databases.
  • Mortgage domain knowledge or MISMO familiarity preferred.

Responsibilities

  • Own the ontology product vision, roadmap, backlog, release plan, and adoption strategy.
  • Define enterprise domain models, entity relationships, taxonomies, constrained vocabularies, and semantic standards.
  • Establish governance, versioning, change control, lineage, and quality metrics.
  • Partner with business SMEs, data engineering, architecture, risk, and compliance to map source systems and validate semantic models.
  • Translate business needs into epics, user stories, acceptance criteria, and production validation tests.
  • Enable governed semantic grounding for knowledge graphs, analytics, LLMs, and AI agents with appropriate permissions and auditability.

Job description

Tata Consultancy Services Limited in Los Angeles, CA, seeks a Product Owner for Ontology to drive the semantic roadmap, govern knowledge-graph standards, and align business needs with ontology governance, lineage, and quality metrics. Expertise in RDF/OWL/SKOS and related technologies is required.

The role partners with data engineering, architecture and compliance to map source systems, translate business needs into epics and acceptance criteria, and validate semantic models for AI agents and

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