S&P Global Enterprise Data Organization
LeadKnowledgeEngineer
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“Lead Knowledge Engineer at S&P Global Enterprise Data Organization. Skills: ontology development, semantic web technologies, knowledge graphs. Develop ontologies, taxonomies, knowledge graphs. Design data/software engineering solutions”
Industry & Context.
Solving complex challenges
What They're Looking For.
Must Have
ontology development, semantic web technologies, RDF, RDFS, OWL, SPARQL, open-source or commercial semantic tools, advanced data integration, semantic and knowledge graph technologies, complex, enterprise-class, multi-system environment(s), Programming skills in a mainstream programming language, Python, Java, JavaScript, agile development life cycle, data management discipline, data governance, data quality, metadata management, reference and master data management
Nice to Have
VocBench, TopQuadrant, PoolParty, RDFLib, triple stores, cloud services, AWS, Google Cloud, Azure
What You'll Do.
Design data/software engineering solutions
Provide thought leadership
Influence semantic vision
Execute interconnected data vision
Analyze knowledge organization strategies
Advocate for established semantics
How You'll Work.
Team & Collaboration
Partner closely with data and software engineering; Collaborate with colleagues; Participate in governance bodies
Communication Scope
Communicate complex technical strategies; Relatable communication to stakeholders
Process & Methodology
Ensure timelines are feasible, Prioritize work effectively, Deliverables met
Full Job Description
# **About the Role:** **Grade Level (for internal use):** 12 **Segment: S &P Global Enterprise Data Organization** S&P Global Enterprise Data Organization is a unified, cross-divisional team focused on transforming S&P Global’s data assets. We streamline processes and enhance collaboration by integrating diverse datasets with advanced technologies, ensuring efficient data governance and management. **The Role** : Lead Knowledge Engineer **Work Location:** Gdansk, Poland, Calgary, Canada, Mexico City, Mexico (hybrid setting: 2 days on site per week), The Netherlands (Virtual), Argentina (Virtual) **The Team** : The Knowledge Engineering team within Distribution & Data Platforms helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies. **The Impact** : Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets. **What’s in it for you**: The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. It’s a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self. **Responsibilities** : * Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery * Design and prototype data / software engineering solutions enab
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