Capital One National Association
Manager, Ontology and Data Modeling- Retail Bank
Capital One National Association, Mc Lean, Virginia, us, 22107
Center 2 (19050), United States of America, McLean, VirginiaManager, Ontology and Data Modeling- Retail 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 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 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.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.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.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, 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.Has very strong research skills.Able to communicate and present ideas clearly and with confidence.Able to foster strong relationships with business partners, supporting semantic projects across departments.Continually focused on improving the responsiveness and quality of the solutions delivered.Exhibits high energy, passion, self-motivation, and creativity for problem solving.Basic Qualifications
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.Preferred Qualifications
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.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
#J-18808-Ljbffr
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 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.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.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.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, 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.Has very strong research skills.Able to communicate and present ideas clearly and with confidence.Able to foster strong relationships with business partners, supporting semantic projects across departments.Continually focused on improving the responsiveness and quality of the solutions delivered.Exhibits high energy, passion, self-motivation, and creativity for problem solving.Basic Qualifications
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.Preferred Qualifications
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.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
#J-18808-Ljbffr