Principal Associate, Ontology and Data Modeling

Capital One

Capital One ontology principal developing enterprise data models and semantic technology. Governing ontologies, linked data, and standards across Finance and Enterprise products.

Posted 8/31/2026full-timeMcLean • Massachusetts, New York, Texas, Virginia • 🇺🇸 United StatesJuniorMid-Level💰 $119,400 - $163,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing enterprise ontologies and data models, with a strong focus on semantic technology and data standardization. Proficient in utilizing ontology management tools and W3C standards to enhance data discoverability and integration across various domains.

Highest-signal resume keywords

Ontology DevelopmentW3C Standards (JSON, XML, RDF, RDFS, OWL, SKOS)Ontology and Linked Data Tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World)SQL and SPARQLProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Ontology DevelopmentData ModelingSemantic TechnologySQLSPARQLMachine LearningData IntegrationKnowledge OrganizationGraph DatabasesControlled Vocabularies

Soft Skills

Detail-OrientedProblem-SolvingStrong Communication SkillsTeam CollaborationProject Management Experience

Tools & Technologies

ProtégéTopQuadrantPoolPartyStardogAnzoGraphNeptuneData.WorldAmazon Web ServicesPythonR

Industry Keywords

Enterprise OntologiesData StrategyData StandardizationMetadataAgile Principles

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Develop, implement, and maintain enterprise ontologies supporting Capital One’s Data Strategy
Collaborate across Finance and Enterprise partners to develop domain ontologies supporting Enterprise initiatives
Champion creation and adoption of standardized data
Partner with Technology, Product, Machine Learning, and other Capital One teams to develop and integrate semantic technology into products and services
Develop, implement, and govern ontologies and optimized data models with stakeholders to improve data discoverability, search, and product development
Contribute to data integration and mapping efforts to harmonize data with upper and domain ontologies
Communicate and advocate the value of ontologies, semantics, and standardization across the business
Analyze and implement knowledge organization strategies using machine learning, ontology management, and semantic enrichment tools
Maintain awareness of competitor and industry developments in ontology use, knowledge organization, data modeling, and machine learning
Develop standards, guidelines, and direction for ontology, data modeling, semantics, and Data Standardization
Test and troubleshoot new or updated models and systems
Manage and oversee other projects assigned by Product Owners and Supervisors

Requirements

What you’ll need

Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination
At least 3 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination
At least 3 years’ experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS)
At least 3 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
At least 3 years’ experience with SQL, SPARQL, or a combination
Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery and management of enterprise data
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
Detail-oriented and able to problem-solve independently
Strong reading and writing skills
Strong project management experience
Excellent communication skills and ability to present ideas clearly and confidently
Ability to work individually and with a team to meet deadlines
Capital One will not sponsor a new applicant for employment authorization for this position

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
Reasonable accommodations for applicants who require them