Lead Knowledge Engineer

S&P Global is seeking a Lead Knowledge Engineer to join their Enterprise Data Organization, a role that sits at the intersection of data engineering and semantic technologies. This position offers an exciting opportunity to drive the company's transformation from traditional data management to next-generation interconnected data intelligence.

The role requires expertise in semantic web technologies, knowledge graphs, and data architecture, with the successful candidate working on highly visible initiatives that have significant organizational impact. You'll be part of the Knowledge Engineering team within data strategy and governance, helping to lead fundamental organizational change in linked data, open data, and data governance strategies.

The position offers a unique blend of technical leadership and hands-on development, requiring both deep technical expertise and strong communication skills. You'll work with cutting-edge technologies while influencing strategic direction, making this an ideal role for someone who wants to shape the future of enterprise data architecture.

Key technical requirements include extensive experience with semantic web technologies (RDF, RDFS, OWL, SPARQL), programming skills in languages like Python, Java, or JavaScript, and familiarity with cloud services. The role also demands experience in enterprise-class data integration and a solid understanding of data governance principles.

S&P Global offers a comprehensive benefits package including health care coverage, retirement planning, continuous learning opportunities, and family-friendly policies. The company's culture emphasizes innovation, collaboration, and flexibility, with a strong focus on delivery and personal growth.

This is an excellent opportunity for a seasoned professional looking to make a significant impact in a global organization that's leading the transformation of financial and commodity market intelligence. The role offers the chance to work with world-class datasets while helping to build next-generation data products and analytics solutions.