Head of Multi-Asset Engineering

OSTTRA•Princeton, NY

2d•$177,000 - $260,000

About The Position

The Head of Multi-Asset Engineering leads 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 role owns the end-to-end technology strategy and execution roadmap for the Multi-Asset Index value stream, aligning technology investments with business priorities, customer demand, and strategic objectives. It leads delivery of product capabilities, analytics, and data packages; advances engineering practices and measurable delivery outcomes; and establishes strategies for shared services, APIs, frameworks, and engineering patterns. The position also promotes reuse across Index Build, Multi-Asset, Equities, and Fixed Income platforms, and integrates AI and automation into engineering and product lifecycles. The successful candidate leads and develops engineering teams and technical leaders, builds cross-functional partnerships, influences stakeholders, and communicates strategy, priorities, risks, and outcomes to senior leadership. The position requires substantial software engineering and leadership experience, financial-market technology domain experience, cloud-native platform expertise, and practical experience integrating AI/ML into production software delivery. The role is limited to candidates with indefinite right to work in the United States. For U.S. candidates, the anticipated base salary range is $177,000 to $260,000, with eligibility for annual incentive plans and additional S&P Global benefits. Final base salary depends on geographic location, experience, skills, training, licenses, and certifications.

Requirements

15+ years of software engineering experience.
Multiple years in an engineering leadership role with 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 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 (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 encourage adoption of common solutions across technology organizations.
Evaluate AI, automation, agentic development approaches, and emerging technologies to improve engineering productivity and expand platform capabilities.
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.
Build partnerships across Product, Operations, Commercial, Data Platform, Architecture, Cyber, QE, and SRE teams, and influence stakeholders without direct authority.
Communicate strategy, priorities, risks, and outcomes to senior leadership.