Head of Multi-Asset Engineering

S&P Global•Princeton, NJ

2d•$177,000 - $260,000

About The Position

The Head of Multi-Asset Engineering is responsible for the strategy, architecture, and execution of technology solutions supporting S&P Dow Jones Indices' Multi-Asset business. The role partners 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 Multi-Asset index offerings. It combines value-stream ownership, engineering leadership, platform strategy, and organizational influence, with a focus on moving from bespoke solutions toward reusable platforms, common services, and modern product-centric engineering practices. The position leads the end-to-end technology strategy and execution roadmap for the Multi-Asset Index value stream, ensuring technology investments align with business priorities, customer demand, and strategic objectives. It accelerates delivery of new index launches and enhancements, drives AI-enabled product capabilities, analytics, and data package solutions, and establishes measurable outcomes for quality, resiliency, throughput, and business value. The role defines strategies for shared business services, APIs, frameworks, and engineering patterns, identifying reusable capabilities across Index Build value streams and reducing duplication and technical fragmentation across Multi-Asset, Equities, and Fixed Income platforms. It also champions AI, automation, and agentic development approaches to improve engineering productivity, partnering with Architecture, Data, and Platform teams to integrate AI capabilities into the product lifecycle. The leader develops engineering teams and technical leaders, influences cross-functional stakeholders, builds partnerships across technology and business teams, and communicates strategy, priorities, risks, and outcomes to senior leadership. The role is limited to people with indefinite right to work in the United States.

Requirements

15 or more years of software engineering experience, including multiple years in an engineering leadership role with direct accountability for platform or product engineering organizations, distributed global teams, delivery roadmaps, and architecture governance.
A proven record of delivering business-critical technology solutions in capital markets, fintech, asset management, exchanges, market infrastructure, or financial data businesses.
Demonstrated experience building reusable platforms, shared services, APIs, and enterprise-scale architectures.
Experience applying cloud-native engineering principles, modern SDLC/PDLC practices, and software delivery automation.
Experience delivering enterprise-scale, cloud-native platforms on AWS, Azure, or GCP, including microservices design, event-driven architecture, API gateway frameworks, and CI/CD pipeline automation at production scale.
Hands-on experience integrating AI/ML capabilities into production software delivery pipelines, including LLM-based tooling, automated code generation, or intelligent data processing, with measurable improvements to engineering throughput or product capability.
Bachelor's degree in Computer Science, Software Engineering, or a related engineering discipline.
Indefinite right to work in the United States.

Nice To Haves

Domain expertise in Multi-Asset, Equity, Fixed Income, Indices, Quantitative Finance, or Portfolio Construction strategies.
Experience with index lifecycle management platforms, back-testing systems, portfolio analytics tools, or custom index solutions such as ILMP, Index Studio, or equivalent enterprise index infrastructure.
Track record of modernizing legacy platforms and executing platform consolidation across distributed, multi-team engineering organizations.
Proficiency with modern SDLC/PDLC toolchains, software delivery automation, and quality engineering practices.
Advanced degree (Master's or PhD) in Computer Science, Financial Engineering, Mathematics, or a quantitative discipline.

Responsibilities

Lead the end-to-end technology strategy and execution roadmap for the Multi-Asset Index value stream in partnership with business leadership.
Align technology investments with business priorities, customer demand, and strategic objectives, and serve as the senior technology partner for Multi-Asset product development initiatives.
Accelerate delivery and time-to-market for new index launches and enhancements.
Drive delivery of AI-enabled product capabilities, analytics, and data package solutions.
Lead modern software engineering practices and product-oriented delivery models, establishing measurable outcomes for quality, resiliency, throughput, and business value.
Define and execute strategies for shared business services, APIs, frameworks, and engineering patterns.
Identify common capabilities across Index Build value streams and develop reusable solutions.
Reduce duplication and technical fragmentation across Multi-Asset, Equities, and Fixed Income technology platforms, and encourage adoption of common solutions across technology organizations.
Use AI, automation, and agentic development approaches to improve engineering productivity and evaluate emerging technologies for platform opportunities.
Partner with Architecture, Data, and Platform teams to integrate AI-enabled capabilities into the full product lifecycle.
Lead, mentor, and develop engineering teams and technical leaders.
Influence cross-functional stakeholders and build partnerships across Product, Operations, Commercial, Data Platform, Architecture, Cyber, QE, and SRE teams.
Communicate strategy, priorities, risks, and outcomes to senior leadership.