Semantic Layer - Ontology/Knowledge Engineer

As an Ontology and Knowledge Graph Engineer in Chase's Data and Analytics Office, you will curate the semantic data assets that connect our enterprise data estate to a shared, intelligent knowledge graph.

You will work at the intersection of formal knowledge representation, logical data modeling, and data integration, building the ontologies and mapping assets that make our data semantically interoperable across use cases.

Our team values precision, intellectual curiosity, and a deep commitment to making data meaningful - and you will find that culture reflected in everything we build together.

This role offers an opportunity to contribute to a foundational capability that underpins enterprise AI, analytics, and data governance at one of the world's most influential financial institutions.

Job Responsibilities


* Author Logical Data Model Ontologies that compose concepts from Upper Ontologies and Semantic Taxonomies to accurately represent how enterprise data is materialized across our data estate


* Design and maintain Knowledge Graph Mapping assets that connect relational databases, REST APIs, in-memory data structures, and real-time streaming sources to a coherent enterprise knowledge graph


* Curate Semantic Taxonomy structures using controlled vocabularies and Concept Schemes to organize enterprise concepts consistently across multiple business domains


* Contribute to the design and governance of Upper Ontologies and Semantic Taxonomies that provide a shared, standardized conceptual backbone across enterprise semantic use cases


* Enable Virtual Knowledge Graph capabilities by ensuring mapping assets and ontology definitions support on-the-fly knowledge graph materialization without physical data movement


* Engage with data architects, domain subject matter experts, AI engineers, and machine learning engineers to align ontology and mapping design decisions with both physical data structures and downstream Reasoning and Semantic Validation requirements


* Participate in ontology governance activities including versioning, change management, deprecation policies, and cross-domain alignment reviews


* Translate complex business and data requirements into formal semantic representations that are technically rigorous and accessible to non-technical stakeholders.

Required Qualifications, Capabilities, and Skills


* 3 years of experience working with semantic web technologies, knowledge graph engineering, ontology development, or linked data systems in a professional or research setting


* Demonstrated understanding of formal knowledge representation principles, including class hierarchies, property definitions, and logical constraints


* Familiarity with data mapping concepts that connect structured and semi-structured data sources to ontology-defined target vocabularies


* Working knowledge of semantic data model layers, including foundational data models, schema definition languages, and con...