Lead Ontology & Semantic Data Modeling – Retail Bank
Capital One
New York (NY)
Hybrid
USD 139,100 - 158,700
Full time
14 days+
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Benefits offered by this job
Comprehensive health benefits
Performance-based bonuses
Flexible working hours
Inclusive workplace culture
Job summary
An established industry player is seeking a Principal Associate for Ontology and Data Modeling within their Retail Bank division. This role involves developing and implementing enterprise ontologies to enhance data strategy and integration across various business lines. The ideal candidate will advocate for semantic technology and data standardization, ensuring that data models align with organizational goals. If you are passionate about data and eager to drive innovation through semantic solutions, this opportunity offers a collaborative environment where your contributions will significantly impact the company's data initiatives.
Qualifications
3+ years experience in ontology and data modeling with a relevant degree.
Strong familiarity with W3C standards and semantic technologies.
Responsibilities
Develop and govern ontologies and data models for improved data discoverability.
Collaborate with teams to integrate semantic technology into products.
Skills
Ontology Development
Data Modeling
Semantic Technology
W3C Standards
Machine Learning
SQL
SPARQL
Communication Skills
Project Management
Education
Bachelor’s degree in relevant field
Master’s degree in relevant field
Tools
Protégé
TopQuadrant
PoolParty
Stardog
AnzoGraph
Neptune
Data.World
Job description
An established industry player is seeking a Principal Associate for Ontology and Data Modeling within their Retail Bank division. This role involves developing and implementing enterprise ontologies to enhance data strategy and integration across various business lines. The ideal candidate will advocate for semantic technology and data standardization, ensuring that data models align with organizational goals. If you are passionate about data and eager to drive innovation through semantic solutions, this opportunity offers a collaborative environment where your contributions will significantly impact the company's data initiatives.