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 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, and SKOS

Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One 

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, 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 in order to further 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 the Capital One business, processes, customers, users, and business needs to better solve Data Management problems

Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends

Has very strong research skills

Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience

Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions

Continually focused on improving the responsiveness and quality of the solutions delivered

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, and SKOS)

At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World)

At least 4 years’ experience or training with SQL and SPARQL  

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

Detail-oriented and an ability to problem-solve independently

Strong reading and writing skills

Strong project management experience

Excellent communication skills and the ability to present ideas clearly and with confidence

Ability to work individually and with a team to meet deadlines