Lead Knowledge Engineer

S&P Global

Not specified; not specified; competitive pyy + re...
Ontology and taxonomy development
Semantic web technologies rdf owl sparql
Knowledge graph architecture implementation
The role involves leading the strategic transformation from a traditional data organization into a next-generation interconnected data intelligence organization

Job Summary

  • The role involves leading the strategic transformation from a traditional data organization into a next-generation interconnected data intelligence organization.
  • Candidates will develop and enhance ontologies, taxonomies, and knowledge graphs while managing a team of knowledge engineers to deliver projects on time.
  • S&P Global offers comprehensive benefits including health care coverage, generous time off, continuous learning resources, and family-friendly perks.

Matching Summary

The role involves leading the strategic transformation from a traditional data organization into a next-generation interconnected data intelligence organization.

Salary

Not specified; Not specified; Competitive pay and retirement planning mentioned

Skills & Requirements

Must-have

  • Ontology and taxonomy development
  • Semantic web technologies RDF OWL SPARQL
  • Knowledge graph architecture implementation
  • Linked metadata schemes creation
  • Team leadership for knowledge engineers

Nice-to-have

  • Cloud services experience AWS Azure Google Cloud
  • Python Java JavaScript programming skills
  • Agile development life cycle understanding
  • Data governance and quality management
  • Innovation and collaboration culture fit

Key Requirements

  • 5+ years experience with taxonomy and ontology development
  • 3+ years in advanced data integration with semantic technologies
  • Advanced studies in computer science or related discipline preferred
  • Experience with semantic tools like VocBench TopQuadrant PoolParty

Work Rights

Not specified

Tailored Resume

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