Senior Ontologist - Data Management Lab

at  Bloomberg

Bloomberg runs on data. Our products are fuelled by powerful information. We combine 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.

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 foundational components 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 develop competency 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:

• Lead the development and implementation of ontologies to represent complex domains, promote FAIR principles, and build bridges from legacy products to emerging solutions
• Work closely with stakeholders, subject matter experts, product owners, and engineers to understand their use cases, requirements, dependencies to critically evaluate proposed solutions
• Communicate effectively with collaborators by articulating complex ideas using accurate terminology with relatable examples, as well as, asking clarifying questions to define core meanings
• Recognize patterns across disparate workstreams, make abstractions, using a combination of approaches (top-down, bottom-up, etc.)
• Guide fellow ontologists’ work to align with accepted practices, standards, objectives, key results, and strategic initiatives
• Stay abreast of emerging trends and advancements in ontology engineering, knowledge representation, and semantic technologies
• Contribute to the development of peer-reviewed papers, conference presentations, panels, standards boards, and other external industry participation opportunities
• Provide mentorship and guidance to junior ontologists, and contribute to their professional development
• Continually strive to represent knowledge faithfully while adjusting for bias and accounting for multiple diverging perspectives
• Balance timeliness with quality under tight deadlines, managing multiple priorities and partners
• Demonstrate end-to-end relevance to stakeholder needs, from gathering competency questions to finding traction with integrations