Product Owner – Ontology
External job listingat Qualisinc
I’m #hiring. #Know anyone who might be interested? Please see the job details below and let me know if you would be interested in this role. If interested, please send me updated resume,...
Salary
Not provided
Location
Los Angeles, United States
Employment type
Full time
Workplace
Not provided
Product Owner – Ontology
Los Angeles, United States
Job description
I’m #hiring.
#Know anyone who might be interested?
Please see the job details below and let me know if you would be interested in this role. If interested, please send me updated resume, your contact details, your availability and a good time to connect with you.
🏛️ Role: #Product Owner – Ontology
📍 Location: #Los Angeles, CA- ONSITE
💼Type of Hire: #Long Term Contract
ROLE_DESCRIPTION-
We are looking for an experienced Product Owner – Ontology to lead enterprise semantic modeling across mortgage origination, servicing, data, and AI platforms. The ideal candidate will drive ontology product strategy and develop governed, reusable domain models to support enterprise applications, analytics, knowledge graphs, and AI agent workflows.
🔹 Key Responsibilities:
Own product vision, roadmap, backlog, release planning, and adoption strategy.
Define enterprise domain models, entity relationships, taxonomies, controlled vocabularies, and semantic standards.
Establish ontology governance, versioning, change control, lineage, and quality metrics.
Collaborate with business SMEs, data engineering, architecture, risk, and compliance teams.
Translate business requirements into epics, user stories, acceptance criteria, and validation tests.
Enable semantic grounding for knowledge graphs, LLMs, analytics, and AI agents while ensuring governance and auditability.
🔹 Required Skills:
5+ years of Product Management, Business Analysis, or Data Product Ownership experience.
Strong understanding of ontology, semantic modeling, and knowledge representation.
Experience with RDF, OWL, SKOS, SHACL, SPARQL, Neo4j/Cypher, or comparable technologies.
Working knowledge of SQL, source-data profiling, data mapping, and model validation.
Strong stakeholder management, communication, and cross-functional collaboration skills.
Experience with AI Agents, Knowledge Graphs, and enterprise data models is highly relevant.
🔹 Preferred:
Mortgage origination and servicing domain experience.
Knowledge of MISMO stan