Senior Associate, Ontology and Data Modeling

Jobtailor; Massachusetts; On-site; USD 90,000 - 150,000; Full time

Job summary

Capital One seeks a Senior Ontology/Data Modeling Specialist to develop and govern ontologies and optimized data models with cross‑functional teams. You will contribute to data integration, harmonize domain ontologies, and advocate semantic standardization across business units.

You will partner with Technology, ML, and Product teams to embed semantics into products and services, analyze knowledge organization strategies, and test new models. Strong written and verbal communication are essential.

Qualifications

• 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 or a masters’ degree in a listed field
• Experience with W3C standards including RDF, RDFS, OWL, SKOS
• Experience with ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World)
• 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 methodologies
• Familiarity with AWS
• Detail-oriented with problem-solving ability
• Strong reading and writing skills
• Strong project management and communication skills
• Capitol One will not sponsor employment authorization for this position

Responsibilities

• 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

Skills

Ontology Development

Data Modeling

Semantic Enrichment

SQL

SPARQL

JSON

XML

RDF

RDFS

OWL

Education

Bachelor’s degree in information science or related

Tools

Protégé

TopQuadrant

PoolParty

Stardog

AnzoGraph

Neptune

Data.World

Graph Databases

Amazon Web Services

OpenAPI/YAML

Job description

• 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

• 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

Core Competencies

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 Development


• W3C Standards (RDF, RDFS, OWL, SKOS)


• Ontology and Linked Data Tools (Protégé, TopQuadrant, PoolParty)


• SQL and SPARQL


• Machine Learning Integration

Hard Skills

• Ontology Development


• Data Modeling


• Semantic Enrichment


• SQL


• SPARQL


• JSON


• XML


• RDF


• RDFS


• OWL

Soft Skills

• Detail-Oriented


• Problem-Solving


• Strong Communication Skills


• Project Management


• Team Collaboration

Industry Keywords

• Ontology


• Metadata Management


• Knowledge Organization


• Data Standardization


• Controlled Vocabularies


• Thesauri


• Agile Methodologies


• Machine Learning


• Data Integration


• Capital One

Tools & Technologies

• Protégé


• TopQuadrant


• PoolParty


• Stardog


• AnzoGraph


• Neptune


• Data.World


• Graph Databases


• Amazon Web Services


• OpenAPI/YAML