Senior Associate, Ontology and Data Modeling

Capital One

Senior Associate developing enterprise ontologies and data models for Capital One’s banking products. Integrating semantic technology and standardized data across Finance, Technology, and Machine Learning teams.

Posted 8/31/2026full-timeMcLean • Massachusetts, New York, Texas, Virginia • 🇺🇸 United StatesSenior💰 $101,100 - $138,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in ontology development, data modeling, and semantic enrichment, with a strong understanding of W3C standards and experience in metadata management. Proficient in utilizing ontology and linked data tools to enhance data discoverability and integration across products and services.

Highest-signal resume keywords

Ontology DevelopmentW3C Standards (RDF, RDFS, OWL, SKOS)Ontology and Linked Data Tools (Protégé, TopQuadrant, PoolParty)SQL and SPARQLMachine Learning Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Ontology DevelopmentData ModelingSemantic EnrichmentSQLSPARQLJSONXMLRDFRDFSOWL

Soft Skills

Detail-OrientedProblem-SolvingStrong Communication SkillsProject ManagementTeam Collaboration

Tools & Technologies

ProtégéTopQuadrantPoolPartyStardogAnzoGraphNeptuneData.WorldGraph DatabasesAmazon Web ServicesOpenAPI/YAML

Industry Keywords

OntologyMetadata ManagementKnowledge OrganizationData StandardizationControlled VocabulariesThesauriAgile MethodologiesMachine LearningData IntegrationCapital One

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

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 Capital One’s upper and domain ontologies
Communicate and advocate the value of ontologies, semantics, and standardization across the business
Partner with Technology, Machine Learning, Product, and other Capital One teams to develop and integrate semantics into products and services
Analyze and implement knowledge organization strategies using machine learning, ontology management, and semantic enrichment tools
Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
Understand and 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
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 2 years’ experience in a metadata field of work, or a masters’ degree in a listed field
At least 2 years’ experience or training using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS)
At least 2 years’ experience or training with ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
At least 2 years’ experience with SQL, SPARQL, or a combination
Understanding of ontology development and controlled vocabularies and thesauri
Familiarity with graph databases and technologies
Familiarity with Python or R
Familiarity with JSON, OpenAPI/YAML, and AVRO
Familiarity with Agile principles, processes, and methodologies
Familiarity with Amazon Web Services
Detail-oriented with ability 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
At this time, 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