Manager, Ontology – Data Modeling

Capital One

Ontology and data modeling manager advancing Capital One’s enterprise semantic technology strategy. Leading ontologies, semantic integration, governance, and modeling teams.

Posted 8/31/2026full-timeChicago • Illinois, New York, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $149,800 - $205,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing enterprise ontologies and data modeling strategies, adhering to W3C standards and utilizing ontology tools. Proven ability to lead teams, mentor associates, and communicate effectively with stakeholders to drive data integration and semantic technology initiatives.

Highest-signal resume keywords

Ontology DevelopmentW3C Standards ComplianceData ModelingProject ManagementTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

OntologyTaxonomySemanticsComputational LinguisticsSQLSPARQLJSONRDFOWLGraph Databases

Soft Skills

CommunicationMentoringCollaborationProblem SolvingTime Management

Tools & Technologies

ProtégéTopQuadrantPoolPartyStardogAnzoGraphNeptuneData.WorldAmazon Web ServicesOpenAPI/YAMLAVRO

Industry Keywords

Data StrategyEnterprise OntologiesSemantic TechnologyData IntegrationAgile Methodologies

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Develop, implement, and maintain enterprise ontologies supporting Capital One’s Data Strategy
Develop domain ontologies across Capital One Lines of Business and Functions
Partner with Technology, Machine Learning, and other teams to develop and integrate semantic technology into products and services
Define actionable problem statements, acceptance criteria, success metrics, and measurable outcomes
Own and prioritize the near-term Ontology and Data Modeling roadmap
Create reusable, extensible, and resilient capabilities
Develop and communicate a 6-month vision to senior stakeholders and partner teams
Lead recruiting, mentoring, and development of junior ontology and data modeling associates
Manage teams developing, implementing, and governing ontologies and optimized data models
Contribute to data integration and mapping efforts
Communicate and advocate the value of ontologies, semantics, and standardization across the business
Monitor competitor and industry developments
Adhere to W3C ontology standards including RDF, RDFS, OWL, SKOS, and SHACL
Develop standards, guidelines, and direction for ontology, data modeling, semantics, and data standardization

Requirements

What you’ll need

Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
At least 4 years’ experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS)
At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
At least 4 years’ experience or training with SQL or SPARQL
Preferred: Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
Understanding of ontologies, controlled vocabularies and thesauri
Familiarity with graph databases and technologies
Familiarity with Python or R
Familiarity with JSON, OpenAPI/YAML, AVRO
Familiarity with Agile principles, processes, and methodologies
Familiarity with Amazon Web Services
Strong project management experience
Ability to work individually and with a team to meet deadlines

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being