About the job
Put meaning at the center of artificial intelligence. As a Senior Ontologist in Consumer & Community Banking’s Data & Analytics team, you’ll help advance JPMorganChase’s AI strategy by developing ontologies that make our large-scale data assets ready for AI-driven discovery and insight. Partnering with product leaders and domain experts, you’ll leverage your ontology expertise to build a foundational context for knowledge-driven AI applications. Join a collaborative and thoughtful team where semantic clarity drives shared understanding and more intelligent outcomes across the organization.
Responsibilities
Develop and maintain an enterprise-grade ontology representing Consumer & Community Banking’s business domains
Establish best practices and pipelines for ontology governance, including quality assurance and versioning
Collaborate with subject matter experts and data architects to capture and formalize domain knowledge into structured semantic models
Partner with product managers to ensure the ontology supports business use cases
Communicate the value and structure of the ontology to technical and non-technical audiences through documentation and presentation
Drive alignment with industry standards and internal standards
Evaluate and recommend tooling, design patterns, and methodologies to scale ontology development and adoption across teams
Qualifications
Minimum
5+ years of experience building ontologies, taxonomies, or knowledge systemsExperience with semantic standards for data representation, query languages, and validation standardsExperience working in ontology development environmentsExcellent communication and collaboration skills, with the ability to convey subject matter expertise to non-technical audiencesStrong organizational skills, including the ability to manage multiple projects, prioritize conflicting deadlines, and adapt to ambiguity
Preferred
Degree in Linguistics, Library/Information Science, Computer Science, or a related disciplineExperience working in the financial domain, including familiarity with financial industry controlled vocabularies and standardsFamiliarity with graph databases and technologies