Ontology Specialist

Required Skills & Experience

The following information provides an overview of the skills, qualities, and qualifications needed for this role.
-4+ years of experience in ontology development, knowledge management, knowledge graphs, or semantic data modeling.-Experience working in financial services-Proven experience building enterprise ontology frameworks from the ground up, including taxonomy, governance, and metadata standards.-Deep expertise in ontology design, taxonomy management, and entity relationship modeling.-Experience developing knowledge graphs and semantic models that support AI, search, and knowledge discovery.-Strong ability to translate complex business concepts into scalable knowledge management solutions.-Experience partnering directly with executive stakeholders and business leaders.-Excellent communication and stakeholder management skills with the ability to serve as the organization's Ontology SME.
Nice to Have Skills & Experience
•Understanding of M&A transactions and deal lifecycle processes•Experience with Azure•Investment banking, private equity, or capital markets experience•Experience organizing and modeling transaction datasets•Familiarity with graph technologies such as Neo4j, RDF, SPARQL, OWL, GraphQL, or similar platforms•Experience supporting enterprise AI initiatives and LLM-based applications•Knowledge of financial datasets, market intelligence platforms, or deal databases•Experience building taxonomies and metadata standards for large-scale knowledge repositories
Job Description
Insight Global is seeking an Ontology Specialist to support one of their investment banking clients in New York City. This individual will serve as the subject matter expert for ontology development, knowledge modeling, and enterprise knowledge graphs, helping to build the firm's ontology framework from the ground up. This role will be responsible for defining how organizational knowledge, transaction data, relationships, and institutional intelligence are structured, classified, and connected across the business. Working at the intersection of business, data, and AI, the Ontology SME will create the foundational semantic models that power AI-driven search, retrieval, discovery, and insight generation across the firm's investment banking platform. This is a hybrid opportunity requiring 3 days a week onsite in New York City.
Key Responsibilities-Serve as the firm's Ontology and Knowledge Management SME, driving the development of ontology and knowledge graph capabilities across the organization.-Build and establish the enterprise ontology framework, taxonomy strategy, and knowledge graph architecture from the ground up.-Design and maintain ontologies that model relationships across companies, sponsors, transactions, industries, geographies, advisors, and deal participants.-Develop scalable semantic models that support AI-powered search, knowledge discovery, and intelligent retrieval.-Structure, normalize, and curate M&A transaction data to create meaningful business relationships and institutional intelligence.-Partner with bankers and stakeholders to capture domain knowledge and translate complex business concepts into ontology-driven data models.-Define metadata standards, taxonomy governance, and best practices for enterprise knowledge management.-Act as a thought leader and advisor on ontology, semantic technologies, and knowledge graph strategy.-Collaborate with AI, data engineering, and business teams to enhance the firm's knowledge ecosystem and AI capabilities.-Ensure the quality, consistency, and accuracy of enterprise knowledge assets and relationships. xzbcwsv -Support the evolution of the firm's AI and knowledge management roadmap through continuous enhancement of ontologies, taxonomies, and knowledge graph solutions.