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 Now
Apply Now
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 Now
Apply Now