Description
We are seeking a Manager, Ontology and Data Modeling to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
The successful candidate will work collaboratively across Finance and Enterprise partners to develop domain ontologies in support of our ERP replacement initiatives. You will champion the creation and adoption of standardized data and partner with Technology, Product, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
Key responsibilities:
- Define clear and actionable problem statements to help teams deliver results
- Leverage customer insights to influence priorities and roadmap development
- Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes
- Utilize balanced judgment in decisions about risks of both actions taken and not taken
- Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams
- Deliver value by creating reusable, extensible and resilient capabilities
- Develop and communicate a 6-month vision to senior stakeholders and partner teams
- Contribute to team culture and recruiting by leading activities to attract and retain top talent
- Manage teams that develop, implement and govern ontologies and optimized data models
- 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
- Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization
Requirements:
- 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
- At least 4 years’ experience or training with SQL or SPARQL
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial and other benefits