Job description

Product Owner – Ontology Must Have Technical/Functional Skills 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. Roles & Responsibilities • 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. Salary Range- $90,000-$110,000 a year #LI-OJ1

Requirements

Must-haves

Product Owner – Ontology
Must Have Technical/Functional Skills
Roles & Responsibilities
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.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

sqlai

Platform: careers-page
Effort: medium

Benefits

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Vision