Jobs
Senior Ontologist - Data Management Lab
Senior Ontologist - Data Management LabBloomberg runs on data. Our products are fuelled by powerful information. Webine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. As part of the Data Management Lab (DML) department, we're responsible for supporting the development, enablement, and implementation of data management best practices that enable the delivery of "ready-to-use" data.
What's the role?
As a Senior Ontologist, you will be pivotal in maintaining and expanding the knowledge representations at Bloomberg. Specifically, you will use ontologies, taxonomies, and other semantic foundationalponents to enhance data interoperability, metadata management, artificial intelligence applications, and more! The day-to-day will vary; some days you may be meeting with domain experts to developpetency questions, while other days you will be adding coverage to Bloomberg's central ontology. Your work will touch a multitude of domains across Bloomberg, covering many departments like Data, Product, and Engineering.
We'll trust you to:
You'll need to have:
Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
5+ years of experience in developing and managing ontologies and/or knowledge graphs for real-world applications; Proficiency in ontology languages and standards such as OWL, RDF, SKOS, and SHACL; Strong knowledge of ontology and taxonomy development tools (, Protégé, TopBraidposer, PoolParty, etc.); Goodmunication and interpersonal skills, with the ability to effectively conveyplex technical concepts to diverse audiences.
We'd love to see:
Master's or in Information Science, Library Science, Philosophy, Linguistics,puter Science, or a related field with a focus on ontology engineering, knowledge representation, or semantic technologies; Experience with collaborative development and version control systems ( git); Understanding of large-scale, distributed, end-to-end systems; Exposure to the Bloomberg Terminal and/or Enterprise data products; Solid understanding of software development life cycle (SDLC) methodologies and project management best practices; Understanding of Dataernance and Data Management, supported by industry certifications ( DAMA CDMP, DCAM, etc.); Experience with collaborative design platforms, such as Miro, Figma, and LucidChart; Please provide artifacts of work (if available and allowable) such as papers, conference presentations, and/or Github repos.
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