Full time
S&P Global
New York, NY
About the Role: Grade Level (for internal use): 14 The Team: This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt. The team embodies a strong commitment to delivering on business needs and demonstrates exceptional collaboration with both product and business partners. They are known for their collaborative approach, strong technical expertise, and the high energy and dedication they bring to their work. Responsibilities and Impact: Lead and scale a large, multi-disciplinary engineering organization of 50+ data engineers, ML engineers, and platform developers, including managing managers and staff-level engineers across cross-functional teams Drive the strategic architecture and implementation of enterprise data management and governance, integrating Databricks Unity Catalog with enterprise data catalog systems and AWS-native governance services to ensure automated...