Lead Knowledge Engineer

About the Role

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.

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 relatedsemantic artefactsfor interconnected data, as well as topical/indexed query, search, and asset discovery
• Design and prototypedata/ softwareengineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts andinterconnected datalayerforvariousapplication contexts
• Provide thought leadership for strategic projects ensuring timelines arefeasible, work is effectively prioritized, and deliverables met
• Influence the strategic semantic vision, roadmap, and next-generation architecture
• Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains
• Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment
• Influence andparticipatein governance bodies to advocate for the use of established semanticsand knowledge-based tools

Qualifications

• Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence
• 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledgeengineering, information sciences,or related discipline preferred
• 3+ years of experience in advanced data integration withsemantic and knowledge graphtechnologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization
• Programming skills inamainstream programming language (Python, Java, JavaScript),with experience in utilizing cloud services(AWS, Google Cloud, Azure)is a great bonus
• Understanding of the agile development life cycle and the broaderdatamanagement discipline (data governance, data quality, metadata management,referenceand master data management)

What's In It For You

Our Mission

Advancing Essential Intelligence.

Our People

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering