Capital One Principal Associate Ontology Data Modeling- Retail Bank 

United States, Virginia, Arlington 

797608030

Center 2 (19050), United States of America, McLean, Virginia Principal Associate, Ontology and Data Modeling- Retail Bank

Primary Responsibilities

• Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development

• 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.

• Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services

• Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment

• 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

• Test/troubleshoot new or updated models and systems

• Manage and oversee other projects as assigned by Product Owners and Supervisors

Role-Based Competencies

• Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges

• Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they’re doing what they’re doing. You always can rally associates to work with you

• Do-er. You’re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You’re well organized, able to multitask and able to prioritize your work

• Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs

• Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help

• Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships

Basic Qualifications

• Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

• At least 3 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

• At least 3 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)

• At least 3 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)

• At least 3 years’ experience or training with SQL or SPARQL

Preferred Qualifications

• Master’s degree 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

New York City (Hybrid On-Site): $134,100 - $153,000 for Principal Associate, Ontology and Data ModelingThis 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.

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.