Senior Associate, Ontology and Data Modeling
Job in
Framingham, Middlesex County, Massachusetts, 01704, USA
Listed on 2026-09-04
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-04
Job specializations:
-
IT/Tech
Data Engineering, Machine Learning/ ML Engineer, Data Analyst, Data Scientist
Job Description & How to Apply Below
- 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
- 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, Top Quadrant, Pool Party, Stardog, Anzo Graph, 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
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, Top Quadrant, Pool Party)
- SQL and SPARQL
- Machine Learning Integration
- Ontology Development
- Data Modeling
- Semantic Enrichment
- SQL
- SPARQL
- JSON
- XML
- RDF
- RDFS
- OWL
- Detail-Oriented
- Problem-Solving
- Strong Communication Skills
- Project Management
- Team Collaboration
- Ontology
- Metadata Management
- Knowledge Organization
- Data Standardization
- Controlled Vocabularies
- Thesauri
- Agile Methodologies
- Machine Learning
- Data Integration
- Capital One
- Protégé
- Top Quadrant
- Pool Party
- Stardog
- Anzo Graph
- Neptune
- Data.
World - Graph Databases
- Amazon Web Services
- OpenAPI/YAML
Position Requirements
10+ Years
work experience
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