Principal Associate, Ontology and Data Modeling- Retail Bank

About the position Responsibilities • Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving 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 Capital One's efforts in ontologies, semantics, and standardization across the business • Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services • Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment • Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning • Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL • Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One • Test/troubleshoot new or updated models and systems • Manage and oversee other projects as assigned by Product Owners and Supervisors Requirements • Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics • 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 or computational linguistics • 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 or training with SQL or SPARQL Nice-to-haves • Master's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of 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 an ability to problem-solve independently • Strong reading and writing skills • Strong project management experience • Excellent communication skills and the ability to present ideas clearly and with confidence • Ability to work individually and with a team to meet deadlines Benefits • Comprehensive health benefits • Financial benefits including performance-based incentives • Inclusive set of benefits that support total well-being Apply tot his job