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.
Job 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
Required Qualifications
- 5+ years of experience building ontologies, taxonomies, or knowledge systems
- Experience with semantic standards for data representation, query languages, and validation standards
- Experience working in ontology development environments
- Excellent communication and collaboration skills, with the ability to convey subject matter expertise to non-technical audiences
- Strong organizational skills, including the ability to manage multiple projects, prioritize conflicting deadlines, and adapt to ambiguity
Preferred Qualifications
- Degree in Linguistics, Library/Information Science, Computer Science, or a related discipline
- Experience working in the financial domain, including familiarity with financial industry controlled vocabularies and standards
- Familiarity with graph databases and technologies