Put meaning at the center of artificial intelligence. As a Senior Ontologist in Consumer & Community Banking’s Data & Analytics team, you’ll help advance JPMorgan Chase’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