Lead, Ontology & Data Modeling

Capital One Group; Plano (TX); Presencial; USD 150.000 - 171.000; Jornada completa

Descripción de la vacante

Capital One is seeking a Manager of Ontology and Data Modeling to lead enterprise ontologies supporting Data Strategy.

The role collaborates across Finance and Enterprise partners to develop standardized data, champion semantic technology integration, and govern ontologies and data models. Strong communication and leadership are essential to drive strategic initiatives and talent development.

Formación

• Bachelor-level degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
• At least 4 years’ experience in a metadata field (ontology, taxonomy, semantics or computational linguistics).
• At least 4 years’ experience or training in W3C standards (JSON, XML, RDF, RDFS, OWL, SKOS).
• At least 4 years’ experience with ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
• At least 4 years’ experience or training with SQL or SPARQL.

Responsabilidades

• Define clear, actionable problem statements for teams working with ontologies.
• Leverage insights to influence priorities and roadmap development; align stakeholders on acceptance criteria.
• Own and prioritize the near‑term Ontology and Data Modeling roadmap for business outcomes.

Conocimientos

Ontology

Data modeling

Semantics

Machine learning

SQL

SPARQL

Educación

Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

Herramientas

Protégé

TopQuadrant

PoolParty

Stardog

Data.World

Descripción del empleo

Capital One is seeking a Manager of Ontology and Data Modeling to lead enterprise ontologies supporting Data Strategy.

The role collaborates across Finance and Enterprise partners to develop standardized data, champion semantic technology integration, and govern ontologies and data models. Strong communication and leadership are essential to drive strategic initiatives and talent development.