Senior Associate, Ontology and Data Modeling
About The Position
The role of the Senior Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Senior Associate of Ontology and Data Modeling, as part of Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of Enterprise initiatives. We are looking for someone to champion the creation and adoption of standardized data. The Senior Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Product, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Senior 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.
Requirements
- Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination
- At least 2 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination
- At least 2 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
- At least 2 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
- At least 2 years’ experience of experience with SQL, SPARQL, or a combination
Nice To Haves
- 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
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
Benefits
- performance based incentive compensation
- cash bonus(es)
- long term incentives (LTI)
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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What This Job Offers
Job Type
Full-time
Career Level
Senior
