Product Owner, AI

Confidential Company; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Confidential Company seeks an AI Product Owner to own the enterprise semantic layer and govern ontology objects across origination, servicing, and AI workflows. You will partner with domain experts, data engineering, architecture, risk and compliance, and teams building AI agents on top of the model.

You will define the ontology vision and backlog, drive end-to-end product lifecycle, establish validation tests, and implement governance with named domain owners to ensure lineage, permissions, and

Qualifications

• Bachelor's degree or equivalent work experience in CS/IS or related field.
• 5+ years in product management, business analysis, or data product ownership.
• 2+ years in semantic modeling, ontology, taxonomy, or knowledge graphs.
• Strong SQL profiling and data testing capabilities.
• Experience turning domain sources into formal models and specs.

Responsibilities

• Define ontology product vision, strategy, and roadmap.
• Own end-to-end product lifecycle from ideation to deployment.
• Collaborate with data engineering, architecture, governance, and business teams.
• Translate business needs into user stories and acceptance criteria.
• Establish governance, change review, and stewardship with domain owners.
• Communicate progress to senior management and stakeholders.

Skills

Stakeholder management

Requirements gathering

Communication skills

Domain knowledge

Modeling workshops

Formal knowledge representation

SQL profiling

Education

Bachelor's degree or equivalent

Tools

RDF/OWL/SPARQL

Neo4j/Cypher

Semantic layer tools

Job description

The AI Product Owner owns the enterprise semantic layer that represents the business. This role defines how core entities are modeled once and reused across origination, servicing, and enterprise AI workflows. The role connects business domain experts, data engineering, architecture, risk and compliance, and the teams building applications and AI agents on top of the ontology.

As a Product Owner, you will manage complex initiatives that span multiple integrated business systems and departments. You will create operational efficiencies by designing new business processes, act as a domain expert in end-to-end business functions, and drive technology solutions and workflow optimization across the division.

The AI Product Owner will:

• Define and champion the enterprise ontology product vision, strategy, and roadmap.
• Own the end-to-end product lifecycle, from ideation, requirements, and prioritization through development, launch, and iteration.
• Make sure product decisions align with broader strategic initiatives, including revenue opportunities and cost-saving measures identified by product and business leadership.
• Communicate product strategy, progress, and outcomes to senior management and other stakeholders.
• Own and prioritize the ontology change backlog. Establish and run the ontology governance process, including change review and approval, impact assessment, and a stewardship model with named owners per domain.
• Partner with data engineering on hydration: map source systems to object types and confirm pipelines keep the model current.
• Define competency questions and validation tests for each domain model, confirming the model answers the questions the business actually asks before it ships.
• Define adoption and quality metrics: reuse across workflows, duplicate or orphaned entity rates, definition coverage, mapping freshness, and time from change request to merged model change.
• Own the semantic grounding layer for AI and agentic use cases, so agents and LLM-backed workflows reason over governed objects with inherited permissions, lineage, and audit trails rather than raw, ungoverned data.
• Collaborate with business units, technology teams, and executive leadership to gather insights, align priorities, and ensure product success.
• Translate business needs into clear goals, user stories, acceptance criteria, and functional requirements using use cases, process flows, and data analysis.
• Serve as a domain expert for the business functions your product supports: assess current capabilities, find improvement opportunities, and define measurable outcomes.
• Create and maintain product documentation, including requirements, process flows, and reports.
• Demonstrate behaviors aligned with the organization's culture and values.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent work experience.
• 5+ years in product management, business analysis, or data product ownership, including at least 2 years (preferred) in semantic modeling, ontology, taxonomy, canonical data models, or knowledge graphs.
• Experience taking a domain from undocumented or inconsistent sources through conceptual modeling, formal specification, validation, and production deployment.
• Working understanding of formal knowledge representation: class hierarchies, property definitions, cardinality, inheritance, logical constraints, and controlled vocabularies.
• Working knowledge of SQL and the ability to profile source data independently to test whether a proposed model is supported by the data.
• Proven ability to run modeling workshops and build consensus among SMEs who disagree about what a term means.
• Excellent interpersonal, verbal, written, and presentation skills, with experience working with stakeholders at all levels, including executive management.
• Preferred: Hands-on experience with at least one ontology or semantic platform, such as RDF, OWL, SKOS, SHACL, or SPARQL; property graphs such as Neo4j and Cypher; or a modern semantic layer tool.
• Highly Preferred: Mortgage origination or servicing domain knowledge, including familiarity with MISMO standards.