Manager, Ontology and Data Modeling

Manager, Ontology and Data Modeling

Please read the following job description thoroughly to ensure you are the right fit for this role before applying.

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.

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.

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

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, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA : $158,400 - $180,800 for Manager, Ontology and Data Modeling

McLean, VA : $158,400 - $180,800 for Manager, Ontology and Data Modeling

New York, NY : $172,800 - $197,200 for Manager, Ontology and Data Modeling

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 to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and / or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability / vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).