Manager, Ontology and Data Modeling- Retail Bank

About the position

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 Retail Bank Product, 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 within Retail Bank 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.

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 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 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.

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 (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
• At least 4 years' experience or training with SQL or SPARQL.

Nice-to-haves

• Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
• Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data.
• Familiarity with graph databases and technologies.
• Familiarity with Python or R.
• Familiarity with JSON, OpenAPI/YAML, AVRO.
• Familiarity with Agile principles, processes, and methodologies.
• Familiarity with Amazon Web Services.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).