Lead Knowledge Engineer - Semantic Ontologies & Graphs
S&P Global
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Benefits offered by this job
Job summary
S&P Global Enterprise Data Organization is seeking a Lead Knowledge Engineer to advance ontologies, taxonomies, and knowledge graphs across distributed data platforms. You will help design scalable semantic artefacts and interconnected data layers, partnering with data and software engineers to push the next generation of data architecture.
The role emphasizes leadership in strategic projects, leveraging cloud services and semantic tooling, while aligning with governance, data quality, and
Qualifications
- 5+ years of experience with ontology development, semantic web technologies, and open-source or commercial semantic tools.
- 3+ years of advanced data integration with semantic and knowledge graph technologies in enterprise environments.
- Proficiency in Python, Java, or JavaScript; cloud services (AWS, GCP, Azure) a plus.
- Ability to communicate complex technical strategies to both technical and non-technical stakeholders.
Responsibilities
- Develop, implement, and enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts.
- Design data/software engineering solutions to scale semantic artefacts and interconnected data layers.
- Provide thought leadership for strategic projects, ensuring feasible timelines and priorities.
Skills
Education
Tools
Job description
S&P Global Enterprise Data Organization is seeking a Lead Knowledge Engineer to advance ontologies, taxonomies, and knowledge graphs across distributed data platforms. You will help design scalable semantic artefacts and interconnected data layers, partnering with data and software engineers to push the next generation of data architecture.
The role emphasizes leadership in strategic projects, leveraging cloud services and semantic tooling, while aligning with governance, data quality, and
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