Manager, Ontology – Data Modeling
Job in
Springfield, Sangamon County, Illinois, 62777, 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, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Responsibilities
- 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
- 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, Top Quadrant, Pool Party, Stardog, Anzo Graph, 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
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 Development
- W3C Standards Compliance
- Data Modeling Project Management
- Team Leadership
- Ontology
- Taxonomy
- Semantics
- Computational Linguistics
- SQL
- SPARQL
- JSON
- RDF
- OWL
- Graph Databases
- Communication
- Mentoring
- Collaboration
- Problem Solving
- Time Management
- Data Strategy
- Enterprise Ontologies
- Semantic Technology
- Data Integration
- Agile Methodologies
- Protégé
- Top Quadrant
- Pool Party
- Stardog
- Anzo Graph
- Neptune
- Data.
World - Amazon Web Services
- OpenAPI/YAML
- AVRO
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