Product Owner-Ontology

Centraprise; Los Angeles (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Centraprise, Corp. is seeking a leader in ontology and knowledge representation to own the product vision for semantic platforms. You will manage the roadmap, backlog, release plan, and adoption strategy across enterprise domains.

You will define domain models, taxonomies, and governance processes, and partner with SMEs, data engineering, risk, and compliance to map source systems and validate semantic models for AI-enabled analytics and governance.

Qualifications

• Experience in ontology and knowledge graphs.
• Ability to translate business needs into epics and acceptance criteria.
• Hands-on governance, versioning, and quality metrics.
• Collaboration with SMEs, data engineering, risk, and compliance.
• Mortgage domain knowledge preferred (MISMO).

Responsibilities

• Own the ontology product vision, roadmap, backlog, release plan, and adoption strategy.
• Define enterprise domain models, taxonomies, controlled vocabularies, constraints, and semantic standards.
• Establish governance, stewardship, versioning, change control, impact assessment, 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, competency questions, acceptance criteria, and production validation tests.
• Enable governed semantic grounding for knowledge graphs, analytics, LLMs, and AI agents with appropriate permissions and auditability.

Skills

Ontology

Knowledge representation

Stakeholder collaboration

Governance

Tools

RDF/OWL

SPARQL

Neo4j/Cypher

SQL

MISMO knowledge

Job description

Ontology and knowledge representation; class hierarchies, relationships, cardinality, inheritance, constraints, taxonomies, and controlled vocabularies; RDF, OWL, SKOS, SHACL, SPARQL, Neo4j/Cypher or comparable semantic and knowledge-graph technologies; SQL, source-data profiling, data mapping, and model validation; ontology governance, lineage, quality metrics, permissions, and auditability; mortgage domain and MISMO knowledge preferred.

• Own the ontology product vision, roadmap, backlog, release plan, and adoption strategy.


• Define enterprise domain models, entity relationships, taxonomies, controlled vocabularies, constraints, and semantic standards.


• Establish governance, stewardship, versioning, change control, impact assessment, 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, competency questions, acceptance criteria, and production validation tests.


• Enable governed semantic grounding for knowledge graphs, analytics, LLMs, and AI agents with appropriate permissions and auditability.