Jobs / S&P***
Head of Engineering - Data Distribution
S&P*** · New York, NY, United States
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New York, NY, United States185,000-265,000 USD/yearlyRemote
Remuneration
185,000-265,000 USD/yearly
Location
New York, NY, United States
Visa sponsorship
Sponsors visa
Job summary
HEAD OF ENGINEERING - DATA DISTRIBUTION JOB_DESCRIPTION. HTML CAROUSEL_PARAGRAPH JOB_DESCRIPTION. HTML - New York, New York; Centreville, Virginia; Princeton, New Jersey; Washington, District of Columbia - Information Technology - 330090 JOB DESCRIPTION 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 tr
Benefits
Information:In addition to base compensation, this role is eligible for an annual incentiveThis role is not eligible for additional compensation such as an annual incentivThis role is eligible to receive additional S&P GlobalFor more information on theWe provide to our employees, please click here.What We're Looking For:RequiredWe take care of you, so you can take care of business.We care about our people.That’s why we provide everything you—and your career—need to thrive at S&P GlobaInclude:
Qualifications
- into actionable engineering roadmaps while fostering a high-performance culture of innovation and engineering excellence
- Champion organizational transformation initiatives that position the company at the forefront of enterprise AI and data platform capabilities, directly impacting business growth and operational excellence
- Compensation/
- Deep technical expertise in data platform architecture including Delta Lake and Apache Iceberg internals, with proven ability to guide senior engineers on complex architectural trade-offs and design decisions
- Demonstrated experience leading enterprise data management initiatives including data lineage automation, schema management, data governance, and security implementations at petabyte scale across distributed platforms
- Hands-on experience with cloud data platforms such as AWS services (S3, Glue, Lake Formation, EMR), Databricks Data Intelligence Platform, or similar enterprise-scale data infrastructure
- Experience with AI/ML platforms such as Databricks Mosaic AI, Amazon SageMaker, or Amazon Bedrock, with understanding of autonomous AI agent deployment and semantic modeling for LLM grounding
- Background in enterprise data governance frameworks, compliance
- and experience with
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
- Oversee the development of production-grade autonomous AI systems using Databricks Mosaic AI, ensuring AI agents are grounded in highly governed, accurate data through robust semantic modeling and RAG architectures
- Partner with Product, Security, and executive leadership to translate business and compliance
Skills
CommunicationElectronic Health RecordsLeadership
Degrees
Associate
Languages
English
Industry
AutomotiveDefenseEducationEnergyHealthcareLogisticsManufacturingPublic-sectorRetail
Company size
EnterpriseSmb