Overview In this role you own Pennymac's enterprise ontology, shaping how core entities are modeled across origination, servicing, and AI workflows. You will lead cross-functional collaboration with data engineering, architecture, risk, and product teams to deliver and govern the semantic layer. The position drives efficiency through new processes, ensures ongoing model validity, and anchors AI/agent workloads on governed data. You'll communicate strategy to senior leaders and measure adoption and quality to enable trusted, scalable decision-making. Compensation / BenefitsComprehensive Medical, Dental, and VisionPaid Time Off including vacation, holidays, illness, and parental leaveWellness programs and on-site facilities (where available)Retirement benefits, 401k match, and tuition reimbursementPhilanthropy programs and volunteering opportunitiesCompetitive salary with potential performance-based bonuses ResponsibilitiesDefine and communicate the enterprise ontology vision, strategy, and roadmapOwn end-to-end product lifecycle from ideation to deployment and iterationAlign product decisions with broader strategic initiatives including revenue and cost targetsLead governance: change backlog, review, impact assessment, and stewardship by domainCollaborate with data engineering on data hydration and pipeline validityDefine competency questions and validation tests for each domain modelDefine adoption and quality metrics for reuse, mapping freshness, and change responsivenessMaintain semantic grounding layer for AI/agent workflows with governance, lineage, and audit trailsWork with business units, technology teams, and leadership to align priorities and ensure successTranslate business needs into goals, user stories, acceptance criteria, and requirementsServe as a domain expert for supported business functions and drive measurable outcomesCreate and maintain product documentation and reportsDemonstrate alignment with the company culture and values Key requirementsBachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)5+ years in product management, business analysis, or data product ownershipAt least 2 years in semantic modeling, ontology, taxonomy, canonical data models, or knowledge graphs (preferred)Experience turning domain data from inconsistent sources into conceptual models and production deploymentKnowledge of formal knowledge representation (class hierarchies, properties, cardinality, inheritance, constraints, vocabularies)SQL proficiency and ability to profile source data to validate model supportProven ability to run modeling workshops and build consensus among SMEsExcellent interpersonal, verbal, written, and presentation skills with stakeholders at all levelsPreferred: hands-on experience with ontology/semantic platforms (RDF, OWL, SKOS, SHACL, SPARQL); property graphs (Neo4j, Cypher); or modern semantic layer toolsPreferred: mortgage origination or servicing domain knowledge including MISMO standardsInterpersonal and communication excellenceStrong facilitation and consensus-buildingCross-functional collaborationSemantic modelingOntology/taxonomy developmentKnowledge graphs
Not specified in the original listing.
Not specified in the original listing.
