Director, AI Solutions & Integration

S&P Global

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$149,031–$228,996 / yr
Posted
39 days ago
Freshness
Confirmed live yesterday
Closes
Aug 3, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $230k
This role $189k
$132k most similar roles pay here $304k

This role pays less than 74% of similar roles. Most pay $188,030–$272,059 — the shaded band above. At the midpoint, this role pays about $189k versus about $230k for comparable roles.

Based on 239 similar postings.

Employer

About S&P Global

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.

S&P Global currently has 46 open roles on FindRole.

Listed pay typically runs $142,000–$200,000 across 37 roles with salary data.

Most-posted roles

View all roles at S&P Global

At a glance

TL;DR · Director, AI Solutions & Integration

The Director, AI Solutions & Integration leads a specialized team responsible for integrating advanced analytics and production-ready AI capabilities into core data operations. This leadership role involves defining the technical strategy, reference architectures, and governance standards for GenAI, LLM solutions, RAG patterns, and agentic workflows. The successful candidate will build out enablement programs, establish prompt engineering practices, and oversee the development of end-to-end AI applications while ensuring they meet strict security and operational requirements. Key technical competencies include expertise in ETL/ELT design, data pipeline architecture, Python, SQL, and cloud infrastructure across AWS, Azure, or GCP. The role addresses the challenge of scaling innovation within index management and data operations, transforming experimental technologies into governed, high-value tools that improve productivity and ensure consistent performance across diverse financial asset classes and complex data environments.

What you'll do

  • Define and lead the enterprise strategy for building and scaling production-ready AI applications.
  • Establish reference architectures and standards for GenAI, LLM, RAG patterns, and agentic workflows.
  • Develop prompt engineering practices including reusable patterns, test harnesses, and quality benchmarks.
  • Partner with stakeholders to identify high-value AI opportunities across various financial asset domains.
  • Embed responsible AI practices, risk controls, and security requirements into all AI solutions.
  • Ensure operational readiness for IT handover by establishing monitoring, cost controls, and documentation standards.
  • Lead and mentor a team of AI Solutions Leads and experts while building internal capabilities.
  • Create reusable assets like starter kits and libraries to accelerate AI adoption across the organization.

What we're looking for

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Master's degree or PhD in an AI/ML-related field is preferred.
  • 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.
  • Proven track record of building and deploying production AI systems in complex enterprise environments.
  • Deep expertise in ETL/ELT design patterns, data pipeline architecture, and workflow orchestration.
  • Proficiency in programming languages such as Python, SQL, or Scala.
  • Must have an indefinite right to work in the United States.

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