Principal Associate, Ontology and Data Modeling- Retail Bank
About the position Principal Associate, Ontology and Data Modeling- Retail Bank The role of the Principal Associate of Ontology and Data Modeling is to reputed company, implement, and maintain reputed company ontologies in support of reputed company's Data Strategy. The Principal Associate of Ontology and Data Modeling, as part of Retail Bank Product, will be responsible for working collaboratively across reputed company Lines of Business and Functions to reputed company domain ontologies in support of reputed company initiatives. The Principal Associate of Ontology and Data Modeling will be responsible for partnering reputed company the Retail Bank and other reputed company teams to support the development and integration of semantic technology into reputed company products and services. The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at reputed company, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.
Responsibilities
- reputed company, 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 reputed company's upper and domain ontologies
- Communicate and reputed company the value of reputed company's efforts in ontologies, semantics, and standardization across the business.
- Partner with Technology, Machine Learning, and other reputed company teams to support the development and integration of semantics in reputed company 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 reputed company to ontology use, knowledge organization, data modeling, and machine learning
- Understand and adhere to W3C standards reputed company to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
- reputed company standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at reputed company
- Test/troubleshoot new or updated models and systems
- Manage and reputed company other projects as assigned by Product Owners and Supervisors
Requirements
- 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 reputed company data and ontologies ( JSON, XML, RDF, RDFS, OWL, or 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
reputed company-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 reputed company 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 reputed company Web Services
- Strong project management experience
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