Product Owner

Machine Learning Technologies, LLC; Los Angeles (CA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Machine Learning Technologies, LLC is seeking an experienced Product Owner - Ontology to lead the enterprise semantic layer across mortgage origination, servicing, data, and AI platforms. You will translate complex business concepts into governed ontology models supporting analytics, knowledge graphs, and AI workflows.

The role requires shaping ontology governance, maintaining domain models, and driving adoption with business and technology stakeholders.

Qualifikationen

• Bachelor's degree in Computer Science, Information Systems, or related field or equivalent practical experience.
• 8–10 years total experience with at least 5 years in product management, business analysis, or data product ownership.
• Experience delivering semantic modeling, ontology, domain-modeling, or knowledge-representation solutions.
• Strong understanding of ontology concepts.

Aufgaben

• Own the ontology product vision, roadmap, backlog, release planning, and adoption strategy.
• Define and maintain enterprise domain models, entity relationships, class hierarchies, taxonomies, and semantic standards.
• Establish ontology governance practices including stewardship, versioning, change control, data lineage, and quality metrics.
• Collaborate with stakeholders, data engineers, architects, and risk/compliance to map source systems and validate models.
• Translate business requirements into epics, user stories, acceptance criteria, and production tests.
• Enable governance for knowledge graphs, analytics platforms, and AI workflows.

Kenntnisse

Semantic modeling

Ontology concepts

Product management

Knowledge representation

Ausbildung

Bachelor's degree in Computer Science or Information Systems

Jobbeschreibung

We are seeking an experienced Product Owner - Ontology to lead the development and adoption of an enterprise semantic layer across mortgage origination, servicing, data, and AI platforms. The ideal candidate will translate complex business concepts into governed, reusable domain models that support enterprise applications, analytics, knowledge graphs, and agentic AI workflows.

The Product Owner will collaborate with business stakeholders, data engineering teams, enterprise architects, risk and compliance teams, and AI developers to establish consistent business definitions, semantic standards, and reusable ontology models across integrated systems.

Key Responsibilities

• Own the ontology product vision, roadmap, backlog, release planning, and adoption strategy.
• Define and maintain enterprise domain models, entity relationships, class hierarchies, taxonomies, controlled vocabularies, constraints, and semantic standards.
• Establish ontology governance practices, including stewardship, versioning, change control, impact assessment, data lineage, and quality metrics.
• Collaborate with business subject matter experts, data engineers, architects, and risk and compliance teams to map source systems and validate semantic models.
• Translate business requirements into epics, user stories, competency questions, acceptance criteria, and production validation tests.
• Enable governed semantic grounding for knowledge graphs, analytics platforms, large language models (LLMs), and AI agents.
• Ensure ontology models support appropriate data permissions, traceability, auditability, and enterprise governance.
• Manage complex, cross-functional initiatives involving multiple integrated business systems and departments.
• Identify opportunities to optimize business processes, improve operational efficiency, and streamline workflows through technology solutions.
• Drive stakeholder alignment and promote consistent ontology adoption across business and technology teams.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• 8-10 years of overall relevant professional experience, with at least 5 years in product management, business analysis, or data product ownership.
• Experience delivering semantic modeling, ontology, domain-modeling, or knowledge-representation solutions.
• Strong understanding of ontology concepts

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.