Manager, Ontology and Data Modeling - Commercial Bank

Overview

Manager, Ontology and Data Modeling - Commercial Bank

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 will work collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager will partner 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 role supports an evolving semantic program at Capital One and communicates the value of semantic technology and knowledge organization concepts.

• Guide the definition, design, and deployment of ontology-based data products in support of Capital One's priorities and business objectives
• Define clear and actionable problem statements to help teams deliver results with an understanding of ontologies and optimized data models
• Leverage customer insights to influence priorities and roadmap development while driving alignment between stakeholders in developing acceptance criteria
• Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, identify leverage points in complex problems, and define success metrics
• Use balanced judgment in decisions about risks of actions taken and to be taken while innovating in a well-managed way
• Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other teams to support semantic integration in 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 with transparency on risks and impediments, and build relationships beyond the immediate team for horizontal influence
• Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring junior associates
• Manage teams that develop, implement, and govern ontologies and optimized data models in consultation with stakeholders
• 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 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 (RDF, RDFS, OWL, SKOS)
• Develop standards, guidelines, and direction for ontology, data modeling, semantics, and data standardization at Capital One

• Able to develop and implement ontologies and data models in consultation with stakeholders across 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 with tools capable of machine learning and semantic enrichment
• Able to maintain awareness of industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata
• Able to test and troubleshoot new or updated models and systems
• Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models
• Able to maintain and update data and models according to industry best practice
• Able to support knowledge organization workshops to enhance enterprise ontology, taxonomy, or data models
• Able to assist in the implementation and support of data standardization and ontology governance strategies and processes
• Able to develop a strong understanding of Capital One's business, processes, customers, users, and business needs to solve Data Management problems
• Able to see and communicate the big picture; determine opportunities and risks through analysis of current and future trends
• Has very strong research skills
• Able to communicate and present ideas clearly and with confidence
• Able to foster strong relationships with business partners and support semantic projects across departments
• Continually focused on improving responsiveness and quality of solutions
• Exhibits high energy, passion, self-motivation, and creativity for problem solving

• 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, SKOS)
• At least 4 years'…