Hybrid Lead Knowledge Engineer

Posted 5 hours ago

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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.

Requirements

  • 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).

Benefits

  • 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.

Job title

Lead Knowledge Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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