Senior Associate, Ontology and Data Modeling

11 West 19th Street (22008), United States of America, New York, New York Principal Associate, Ontology and Data Modeling The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Principal Associate 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 Principal Associate 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 products and services. The Principal Associate 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 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. 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. New York City (Hybrid On-Site): $131,400 - $150,000 for Principal Associate, Ontology and Data Modeling. San Francisco, California (Hybrid On-Site): $139,200 - $158,900 for Principal Associate, 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.