Senior Ontology & Data Modeling Architect

Capital One; New York (NY); On-site; USD 180,000 - 205,000; Full time

Job summary

Capital One seeks a Manager of Ontology and Data Modeling to drive enterprise ontologies and standardized data across Finance Products and Data Solutions. You will champion semantic technology adoption, partner with Technology and Product teams, and guide governance of ontologies and data models.

You will lead a team to deliver measurable outcomes, align stakeholders, and advocate data standardization while maintaining awareness of industry developments and best practices.

Qualifications

• Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
• At least 4 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
• At least 4 years’ experience or training in 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

Responsibilities

• Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models
• Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria
• Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems
• Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team
• Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services
• Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing
• Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments
• Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates
• Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder
• 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
• 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

Skills

Ontology

Semantics

Linked data tools

SQL/SPARQL

W3C standards

Education

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

Tools

Protégé

TopQuadrant

PoolParty

Stardog

AnzoGraph

Neptune

Data.World

Job description

Capital One seeks a Manager of Ontology and Data Modeling to drive enterprise ontologies and standardized data across Finance Products and Data Solutions. You will champion semantic technology adoption, partner with Technology and Product teams, and guide governance of ontologies and data models.

You will lead a team to deliver measurable outcomes, align stakeholders, and advocate data standardization while maintaining awareness of industry developments and best practices.