3 principal managing partner jobs found in New York

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...

About the Role: Grade Level (for internal use): 20 Company Overview S&P Global is a leading provider of transparent and independent ratings, benchmarks, analytics, and data to the capital and commodity markets worldwide. With more than a century of trust behind its brands, S&P Global plays a foundational role in the global financial system, transforming data into Essential Intelligence® that enables companies, governments, and individuals to make decisions with conviction. The firm is executing a multi‑year enterprise transformation focused on three strategic pillars: ADVANCE Market Leadership, EXPAND High‑Growth Adjacencies, and AMPLIFY Enterprise Capabilities & AI. This strategy is reshaping how S&P Global operates—scaling enterprise platforms, accelerating innovation, simplifying operating models, and embedding AI across products, workflows, and internal processes. At the same time, S&P Global’s competitive advantage increasingly rests on the...

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 world-class engineering organization of 100+ data engineers, ML engineers, and platform developers, including managing managers and Staff/Principal-level engineers while driving hiring, retention, and talent development strategies Provide strategic technical direction for enterprise-scale lakehouse architecture using Databricks Data Intelligence Platform (Unity Catalog, Delta Lake, Delta Live Tables, Mosaic AI) and AWS...