- New York, New York, United States
- Full-time · Executive
- $185K–$265K per year
- 15+ years
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.
Compensation
(This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $185,000 to $265,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits.
Responsibilities
- 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 tools such as Databricks Data Intelligence Platform (Unity Catalog, Delta Lake, Delta Live Tables, Mosaic AI) and AWS cloud services, ensuring highly performant, cost-effective, and interoperable data foundations
- Drive the organization's transition to production-grade autonomous AI systems, leveraging tools such as Databricks AI stack including MLflow, Feature Store, Vector Search, and Model Serving to deliver measurable business value beyond proof-of-concept implementations
- Establish rigorous engineering standards and operational excellence practices including SLOs, error budgets, incident management, and infrastructure-as-code using tools such as Terraform and Databricks Asset Bundles for reliable platform delivery