Lead Architect, Multi-Asset Platform & AI

S&P Global

United States

On-site

USD 177,000 - 260,000

Full time

8 days ago

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Job summary

Join S&P Global Dow Jones Indices as the Head of Multi-Asset Engineering, leading strategy, architecture, and execution for the Multi-Asset value stream. You will partner with Product, Research & Design, Operations and Commercial teams to accelerate time-to-market, enable AI-powered product innovation, and build scalable technology capabilities for current and future index offerings.

The role requires 15+ years in software engineering with leadership, experience delivering enterprise-scale

Qualifications

  • 15+ years of software engineering experience with leadership
  • Proven record delivering business-critical tech in capital markets/fintech
  • Experience building reusable platforms, APIs, and enterprise-scale architectures
  • Cloud-native platforms on AWS/Azure/GCP with microservices and CI/CD
  • Hands-on AI/ML integration in production pipelines, tooling or data processing
  • Bachelor's degree in Computer Science, Software Engineering, or related field

Responsibilities

  • Lead end-to-end technology strategy and roadmap for the Multi-Asset Index value stream
  • Accelerate product delivery and time-to-market for index launches and enhancements
  • Define and execute a strategy for shared services, APIs, and common frameworks
  • Leverage AI and automation to improve engineering productivity and capabilities
  • Mentor and develop engineering teams and communicate with senior leadership

Skills

Engineering leadership
Capital markets experience
Reusable platforms
Cloud-native platforms
AI/ML integration

Education

Bachelor's degree in Computer Science or related engineering field

Tools

AWS/Azure/GCP

Job description

Join S&P Global Dow Jones Indices as the Head of Multi-Asset Engineering, leading strategy, architecture, and execution for the Multi-Asset value stream. You will partner with Product, Research & Design, Operations and Commercial teams to accelerate time-to-market, enable AI-powered product innovation, and build scalable technology capabilities for current and future index offerings.

The role requires 15+ years in software engineering with leadership, experience delivering enterprise-scale

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