Job Information
Bloomberg Senior Ontologist - Data Management Lab in New York, New York
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.
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 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
You’ll need to have:
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 (e.g., Protégé, TopBraid Composer, PoolParty, etc.)
Good communication and interpersonal skills, with the ability to effectively convey complex technical concepts to diverse audiences
We’d love to see:
Master's or Ph.D. in Information Science, Library Science, Philosophy, Linguistics, Computer Science, or a related field with a focus on ontology engineering, knowledge representation, or semantic technologies
Experience with collaborative development and version control systems (e.g. 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 Data Governance and Data Management, supported by industry certifications (e.g. 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
Does this sound like you?
Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.
Salary: 110000,170000,USD,Annual
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net