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 Requirements 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, TopQuadrant, PoolParty, Stardog, AnzoGraph, 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 Core Competencies 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. Highest-signal resume keywords Ontology Development W3C Standards (JSON, XML, RDF, RDFS, OWL, SKOS) Ontology and Linked Data Tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World) SQL and SPARQL Project Management Hard Skills Ontology Development Data Modeling Semantic Technology SQL SPARQL Machine Learning Data Integration Knowledge Organization Graph Databases Controlled Vocabularies Soft Skills Detail-Oriented Problem-Solving Strong Communication Skills Team Collaboration Project Management Experience Industry Keywords Enterprise Ontologies Data Strategy Data Standardization Metadata Agile Principles Tools & Technologies Protégé TopQuadrant PoolParty Stardog AnzoGraph Neptune Data.World Amazon Web Services Python R #J-18808-Ljbffr Jobtailor