> Markdown version of [/jobs/ext/3994885-product-owner-ontology](https://www.wearedevelopers.com/jobs/ext/3994885-product-owner-ontology). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - Ontology - **Company:** Tanisha Systems Inc - **Location:** Edison, NJ, United States - **Contract:** Permanent contract - **Skills:** Data Analysis, Information Engineering, Data Mapping, Data Profiling, Neo4j, SPARQL, SQL Databases, Management of Software Versions, Large Language Models, Model Validation, Agentic-AI, Knowledge Representation - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/84f7453b-7f3c-4426-9238-2965d69c3a11 ## About the Role * Expertise in ontology and knowledge representation including class hierarchies, relationships, cardinality, inheritance, constraints, taxonomies, and controlled vocabularies. * Proficiency with RDF, OWL, SKOS, SHACL, SPARQL, Neo4j/Cypher or comparable semantic and knowledge-graph technologies. * Experience with SQL, source-data profiling, data mapping, and model validation. * Knowledge of ontology governance, lineage, quality metrics, permissions, and auditability. * Mortgage domain and MISMO knowledge is preferred. ## Description Join our dynamic team in Edison, NJ, where innovation meets opportunity. We are looking for a dedicated professional to drive our ontology initiatives and help shape the future of our knowledge representation strategies., * 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.