Sr. Director, Head of Multi-Asset Engineering

S&P Global•Princeton, NY

6d•$177,000 - $260,000

About The Position

The Sr. Director, 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 closely with Product, Research & Design, Operations, and Commercial teams to accelerate time-to-market, enable AI-powered product innovation, and develop 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 role leads the end-to-end technology strategy and execution roadmap for the Multi-Asset Index value stream, translating business growth opportunities into scalable capabilities and aligning investment with business priorities, customer demand, and strategic objectives. It serves as the senior technology partner for Multi-Asset product development initiatives and drives delivery of new index launches, enhancements, AI-enabled product capabilities, analytics, and data package solutions. The leader defines shared business services, APIs, frameworks, and engineering patterns; identifies capabilities common across Index Build value streams; and promotes reuse to reduce duplication and fragmentation across Multi-Asset, Equities, and Fixed Income platforms. The position also advances AI, automation, and agentic development approaches to improve engineering productivity and integrates AI-enabled capabilities across the product lifecycle in partnership with Architecture, Data, and Platform teams. The role leads, mentors, and develops engineering teams and technical leaders; builds partnerships across Product, Operations, Commercial, Data Platform, Architecture, Cyber, QE, and SRE; influences stakeholders without direct authority; and communicates strategy, priorities, risks, and outcomes to senior leadership. The position is limited to people with indefinite right to work in the United States.

Requirements

15+ years of software engineering experience, including multiple years in an engineering leadership role.
Direct accountability for platform or product engineering organizations, distributed global teams, delivery roadmaps, and architecture governance.
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 production-scale CI/CD pipeline automation.
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 (e.g., 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 (QE) 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.
Partner with business leadership to translate growth opportunities into scalable technology capabilities and align technology investments with business priorities, customer demand, and strategic objectives.
Serve as the senior technology partner for Multi-Asset product development initiatives.
Accelerate delivery and improve 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 a strategy 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 drive adoption of common solutions across technology organizations.
Leverage AI, automation, and agentic development approaches to improve engineering productivity; evaluate emerging technologies and partner with Architecture, Data, and Platform teams to integrate AI-enabled capabilities into the 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.