Senior Ontology Architect & Data Strategy Lead

JPMorgan Chase & Co.

New York (NY)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. seeks an Executive Director-Ontologist to shape the knowledge representation strategy across data, analytics, and AI initiatives. You will lead ontology and taxonomy efforts, drive adoption of standard ontologies, and partner with Data, Product, and Tech teams to enable interoperable data and AI readiness.

The role emphasizes mentoring, strategic alignment with enterprise goals, and staying ahead of semantic technology trends, enabling scalable data governance across domains.

Qualifications

  • 5+ years of ontology development and management experience.
  • Expertise in ISO 20022, OWL, RDF, SKOS and SHACL.
  • Experience with ontology and taxonomy tools such as Protégé, TopBraid Composer, PoolParty.

Responsibilities

  • Development and adoption of ontologies to represent complex domains.
  • Evaluate industry standard ontologies for adoption across JPMorgan Chase.
  • Collaborate with stakeholders, product owners, and engineers to understand use cases and dependencies.
  • Provide expert input into the firm's data strategy.
  • Mentor fellow ontologists to align with standards and strategic initiatives.
  • Stay current with ontology engineering and semantic technologies.

Skills

Ontology development
Structured thinking
Stakeholder communication
Data governance

Education

Master's or Ph.D. in ontology engineering / knowledge representation / semantic technologies

Tools

Protégé
TopBraid Composer
PoolParty

Job description

JPMorgan Chase & Co. seeks an Executive Director-Ontologist to shape the knowledge representation strategy across data, analytics, and AI initiatives. You will lead ontology and taxonomy efforts, drive adoption of standard ontologies, and partner with Data, Product, and Tech teams to enable interoperable data and AI readiness.

The role emphasizes mentoring, strategic alignment with enterprise goals, and staying ahead of semantic technology trends, enabling scalable data governance across domains.

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