Manager, Ontology and Data Modeling

Manager, Ontology and Data Modeling

The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives.

The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary 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, and utilizing data effectively to define success metrics and measurable outcomes

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, driving comprehensive design decisions out of white space technical problems

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, and proactively build relationships with those outside of your immediate team resulting in horizontal influence

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

Role-Based Competencies Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives.

Able to communicate and advocate the value of using industry standards, applications, and open source data sets.

Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.

Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.

Able to test/troubleshoot new or updated models and systems

Able to create processes and tools to establish, maintain,…