Principal Associate, Ontology and Data Modeling

• 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

• 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, Top Quadrant, Pool Party, Stardog, Anzo Graph, 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

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.

• Ontology Development
• W3C Standards (JSON, XML, RDF, RDFS, OWL, SKOS)
• Ontology and Linked Data Tools (Protégé, Top Quadrant, Pool Party, Stardog, Anzo Graph, Neptune, Data.World)
• SQL and SPARQL
• Project Management

• Ontology Development
• Data Modeling
• Semantic Technology
• SQL
• SPARQL
• Machine Learning
• Data Integration
• Knowledge Organization
• Graph Databases
• Controlled Vocabularies

• Detail-Oriented
• Problem-Solving
• Strong Communication Skills
• Team Collaboration
• Project Management Experience

• Enterprise Ontologies
• Data Strategy
• Data Standardization
• Metadata
• Agile Principles

• Protégé
• Top Quadrant
• Pool Party
• Stardog
• Anzo Graph
• Neptune
• Data.
  
  World
• Amazon Web Services
• Python
• R