✦ Luna Orbit — Data & Analytics

Manager, Ontology & Data Modeling

at Capital One Financial

📍 4 Locations Unknown 💰 $149K – $171K USD / year Posted March 29, 2026
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Position Details

Salary $149K – $171K USD / year
Type Full-Time
Experience lead
Exp. Years At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
Education Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
Category Data & Analytics

About this role

Manager of Ontology and Data Modeling will develop, implement, and maintain enterprise ontologies to support Capital One's data strategy, partnering across lines of business and with technology and ML teams to advance semantic capabilities.

Key Responsibilities

  • Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models
  • Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria
  • Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes
  • Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence
  • Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies

Technical Overview

Role requires hands-on experience with RDF/OWL-based ontologies, SPARQL querying, and multiple ontology tools (Protege, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World). Will drive data integration, governance, and semantic design in enterprise data products, adhering to W3C standards (RDF, RDFS, OWL, SKOS, SHACL) and modern data modeling practices.

Ideal Candidate

The ideal candidate is a mid-to-senior level data/ontology engineer with 4+ years’ experience in ontology and linked data, deep knowledge of W3C standards and multiple ontology tools, and a track record of delivering enterprise semantic solutions across business lines.

Must-Have Skills

Bachelor's degree in information sciencecomputer scienceengineeringlibrary scienceontologysemantics or computational linguisticsAt least 4 years' experience in a metadata field of work (ontologytaxonomysemantics or computational linguistics)At least 4 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSONXMLRDFRDFSOWLand SKOS)At least 4 years' experience or training in ontology and linked data tools (ProtegeTopQuadrantPoolPartyStardogAnzoGraphNeptuneor Data.World)At least 4 years' experience or training with SQL or SPARQL

Nice-to-Have Skills

Master's degree or PhD in information sciencecomputer scienceengineeringlibrary scienceontologysemantics or computational linguisticsUnderstanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise dataFamiliarity with graph databases and technologiesFamiliarity with Python or RFamiliarity with JSONOpenAPI/YAMLAVROFamiliarity with Agile principlesprocessesand methodologiesFamiliarity with Amazon Web ServicesDetail-oriented and an ability to problem-solve independentlyStrong reading and writing skillsStrong project management experienceExcellent communication skills and the ability to present ideas clearly and with confidence.Ability to work individually and with a team to meet deadlines

Tools & Platforms

ProtegeTopQuadrantPoolPartyStardogAnzoGraphNeptuneData.World

Required Skills

Ontologydata modelingsemanticsW3C standardsRDFRDFSOWLSKOSSHACLSPARQLJSONXMLProtegeTopQuadrantPoolPartyStardogAnzoGraphNeptuneData.WorldSQLGraph databasesLinked dataontology governance

Hard Skills

OntologyData modelingSemanticsW3C standardsRDFRDF (Resource Description Framework)RDFSOWLSKOSSHACLSPARQLJSONXMLProtegeTopQuadrantPoolPartyStardogAnzoGraphNeptuneData.WorldSQLGraph databasesLinked dataOntology governance

Soft Skills

Strong communicationLeadershipStrategic thinkingCollaborationProblem solvingMentoring

Industry & Role

Industry Banking
Job Function Lead enterprise ontology and data modeling initiatives to enable Capital One's data strategy.
Role Subtype Ontology data modeling manager
Tech Domains RDF, RDFS, OWL, SPARQL, JSON, XML, Data World, Graph databases, Ontology governance, Semantics

Keywords for Your Resume

OntologyData modelingSemanticsW3C standardsRDFRDF (Resource Description Framework)RDFSOWLSKOSSHACLSPARQLJSONXMLProtegeTopQuadrantPoolPartyStardogAnzoGraphNeptuneData.WorldSQLGraph databasesLinked dataOntology governance

Deal Breakers

Less than 4 years of metadata/ontology experience, No experience with W3C standards (RDF, RDFS, OWL, SKOS), No experience with listed ontology tools (Protege, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World), No mention of ability to work in Capital One’s location framework

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