Manager, Ontology and Data Modeling
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 Enterprise Products and Platforms, 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 with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One data 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.

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 (such as 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
• Strong project management experience

PRIMARY RESPONSIBILITIES

• Partnering with Enterprise governance and tooling teams to develop and implement standards for ontologies to support data consumers
• Partnering with Data Product Managers, data modelers, and other ontologists to understand use cases and pain points for data discovery and consumption
• Partnering with Data Product teams to align on shared vocabularies within and across data domains, and design modeling solutions that meet consumer needs and requirements
• Maintaining a scalable ontology that seamlessly integrates vocabularies across domains (Account, Customer, etc), types of data (structured, unstructured), and levels of granularity (up and down the ontology’s hierarchy)

ROLE-BASED COMPETENCIES

• Modeling and implementing taxonomies/ontologies that solve pain points for data consumers trying to find, understand, or use data
• Able to partner across business, technical, and data science teams to implement standardized vocabularies, metadata, and relationships (aka taxonomies/ontologies) in data consumption experiences
• Able to autonomously structure solutions to complex problems and develop modeling frameworks in collaboration with the broader Capital One Ontologist community
• Able to make balanced decisions in modeling design and implementation, such as balancing standardization, scalability, and convergence with user-specific needs for customization and ease of use
• 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 analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.