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Capital One · 1 hour ago

Principal Associate, Ontology and Data Modeling- Retail Bank

New York, NY

Full-time

Hybrid

Mid, Senior Level

$128K/yr - $146K/yr

3+ years exp

Capital One is seeking a Principal Associate of Ontology and Data Modeling to develop, implement, and maintain enterprise ontologies in support of their Data Strategy. This role involves collaborating across various teams to enhance data discoverability and support the integration of semantic technology into Capital One products and services.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

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

Qualification

Ontology developmentData modelingW3C standardsSQLSPARQLOntology toolsGraph databasesMachine learningPythonRAgile principlesCommunicationTeamworkProject management

Required

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, or 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

Preferred

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

Strong project management experience