About the role

Lead Knowledge Engineer at S&P Global driving data transformation initiatives. Collaborating with technology teams to implement next-generation data architecture and knowledge management solutions.

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.
Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met.
Lead and manage a team of knowledge engineers to ensure the timely and effective delivery of projects.
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 and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools.

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 taxonomy and 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, knowledge engineering, information sciences, or related discipline preferred.
3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization.
Programming skills in a mainstream 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 broader data management discipline (data governance, data quality, metadata management, reference and master data management).

Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.