Hiring: Director, AI Solutions & Integration Company: S&P Global Location: New York, NY Job Posted Time: 2026-09-16 10:42:42 Target Skills & Keywords : AWS, Agile, Azure, CI/CD, Capital Markets, Data Pipeline, ELT, ETL, Fixed Income, GCP, LLM, Python, RAG, Risk Management, SQL, Scala, Scrum About the job Experience: •10+ years of experience in AI/ML, data science, or advanced analytics roles •5+ years of leadership experience managing technical teams and delivering AI/ML solutions at scale •Demonstrated success in building and deploying production AI systems in complex enterprise environments Required Skills: •Strategic Leadership & AI Vision •Own and drive the AI solutions enablement strategy for SPDJI, defining how value streams design, build, and scale AI applications that deliver measurable business value •Establish reference architectures and standards for GenAI/LLM solutions (e.g., RAG patterns, agentic workflows, orchestration, integration into data pipelines), ensuring solutions are secure, governable, and production-ready •Define and implement enablement programs for GenAI, LLM, and agent-based solutions across the organization •Contribute to the broader Data AI & Enablement strategy, ensuring AI capabilities align with organizational strategic goals and data platform initiatives •Represent SPDJI Data at enterprise AI forums, advocating for AI capabilities and breakthrough innovations •Partner with PPD and value stream leadership to shape the AI roadmap, provide feasibility input, identify dependencies, and define clear success metrics and acceptance criteria for prioritized use cases •Partner cross-functionally with stakeholders to identify high-value AI opportunities across Equity, Fixed Income, and Multi-Asset domains Qualifications: •Deep expertise in ETL/ELT design patterns, data pipeline architecture, and workflow orchestration framework •Strong knowledge of both batch and streaming data processing technologies •Proficiency in programming languages commonly used in data engineering •Understanding of data quality frameworks, observability, monitoring, and alerting systems •Knowledge of DevOps practices, CI/CD pipelines, and infrastructure-as-code •Operational familiarity with data governance principles and compliance frameworks •Operational familiarity with SPDJI products, methodologies, or index calculation processes •Knowledge of data governance, data quality frameworks, and enterprise data architecture •This role is limited to persons with indefinite right to work in the United States. •Bachelor's degree in Computer Science, Data Science, Engineering, or related field; Master's degree or PhD in AI/ML-related field preferred Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!