Manager, Ontology & Data Modeling

About the role

The Manager of Ontology and Data Modeling develops, implements, and maintains enterprise ontologies in support of Capital One’s Data Strategy. This role, within Enterprise Products and Platforms, collaborates across Capital One Lines of Business and Functions to build domain ontologies for enterprise initiatives, and partners with Technology, Machine Learning, and other teams to integrate semantic technology into Capital One products and services. The position requires the ability to support and grow a semantic program, clearly communicating and advocating the value of semantic technology and knowledge organization concepts.

Responsibilities

• Define clear, actionable problem statements that demonstrate a comprehensive understanding of ontologies and optimized data models to help teams deliver results.
• Leverage customer insights to influence priorities and roadmap development, driving alignment between stakeholders and acceptance criteria.
• Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver business outcomes, identifying leverage points in complex problems and using data to define success metrics and measurable outcomes.
• Exercise balanced judgment in decisions about risks of actions taken and not taken, innovating 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 teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions from white-space technical problems.
• Deliver value by creating reusable, extensible, and resilient capabilities; proactively identify opportunities when key metrics are not performing.
• Develop and communicate a six-month vision to senior stakeholders and partner teams with transparency on risks and impediments, building relationships that extend 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 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 for ontologies, including RDF, RDFS, OWL, SKOS, and SHACL.
• Develop standards, guidelines, and direction for ontology, data modeling, semantics, and Data Standardization at Capital One.

Role-Based Competencies

• Develop and implement ontologies and data models in consultation with stakeholders across data management, search, product management, machine learning, and enterprise initiatives.
• Communicate and advocate the value of using industry standards, applications, and open-source data sets.
• Analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.
• Maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.
• Test and troubleshoot new or updated models and systems.
• Create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models.
• Maintain and update data and models according to industry best practices.
• Support knowledge organization workshops to enhance enterprise ontology, taxonomy, or data models.
• Assist in the implementation and support of data standardization and ontology governance strategies and processes.
• Develop a strong understanding of Capital One’s business, processes, customers, users, and business needs to better solve data management problems.
• See and communicate the big picture in an inspiring way; determine opportunity and risks through comprehensive analysis of current and future trends.
• Demonstrate very strong research skills and communicate and present ideas clearly and with confidence.
• Deliver presentations and status updates tailored to the characteristics and needs of the audience.
• Foster strong relationships with business partners, supporting semantic projects across departments.
• Develop a supportive and helpful culture for assistance in projects and daily support interactions.
• Continually focus on improving the responsiveness and quality of solutions delivered.
• Exhibit 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 of experience in a metadata field (ontology, taxonomy, semantics, or computational linguistics).
• At least 4 years of 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 of experience or training with ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
• At least 4 years of 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 to enhance the discovery and 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 with 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.

Pay

The minimum and maximum full-time annual salaries for this role are as follows, by location:

• Chicago, IL: $149,800 – $171,000
• McLean, VA: $164,800 – $188,100
• New York, NY: $179,700 – $205,100
• Richmond, VA: $149,800 – $171,000

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered will be reflected in the candidate’s offer letter. This role is eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.