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About the Role

The Head of Multi-Asset Engineering will lead the strategy, architecture, and execution of technology solutions for S&P Dow Jones Indices' Multi-Asset business. This role involves partnering with Product, Research & Design, Operations, and Commercial teams to accelerate time-to-market, enable AI-powered product innovation, and build scalable technology capabilities for Multi-Asset index offerings. The position combines value-stream ownership, engineering leadership, platform strategy, and organizational influence, driving the evolution towards reusable platforms and modern engineering practices.

Responsibilities

Lead the end-to-end technology strategy and execution roadmap for the Multi-Asset Index value stream, aligning technology investments with business priorities and customer demand.
Partner with business leadership to translate growth opportunities into scalable technology capabilities.
Serve as the senior technology partner for all Multi-Asset product development initiatives.
Accelerate product delivery and improve time-to-market for new index launches and enhancements.
Drive the delivery of AI-enabled product capabilities, analytics, and data package solutions.
Lead modern software engineering practices and product-oriented delivery models.
Establish measurable outcomes for quality, resiliency, throughput, and business value delivery.
Define and execute a strategy for shared business services, APIs, frameworks, and engineering patterns.
Identify common capabilities across Index Build value streams to develop reusable solutions, reducing duplication and technical fragmentation.
Act as a thought leader to drive adoption of common solutions across technology organizations.
Leverage AI, automation, and agentic development approaches to improve engineering productivity.
Evaluate emerging technologies to identify new opportunities to expand platform capabilities.
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 without direct authority.
Build strong partnerships across Product, Operations, Commercial, Data Platform, Architecture, Cyber, QE, and SRE teams.
Communicate strategy, priorities, risks, and outcomes to senior leadership.

Requirements

15+ years of software engineering experience, including multiple years in an engineering leadership role with direct accountability for platform or product engineering organizations.
Experience with distributed global teams, with ownership of 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 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, resulting in measurable improvements to engineering throughput or product capability.
Bachelor's degree in Computer Science, Software Engineering, or a related engineering discipline.
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.
Track record of successfully 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.
Limited to persons with indefinite right to work in the United States.

Skills

AI
Automation
Agentic development
Cloud-native engineering
Microservices design
Event-driven architecture
API gateway frameworks
CI/CD pipeline automation
LLM-based tooling
Automated code generation
Intelligent data processing
Software delivery automation
Quality engineering (QE)

Location

United States

Work Type

Full-time

Experience Level

15+ years of software engineering experience
Multiple years in an engineering leadership role

Education Level

Bachelor's degree in Computer Science, Software Engineering, or a related engineering discipline
Advanced degree (Master's or PhD) in Computer Science, Financial Engineering, Mathematics, or a quantitative discipline

Salary/Compensations

$177,000 to $260,000

Benefits

Eligible for an annual incentive plans.
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: Best-in class benefits for families.
Beyond the Basics: Retail discounts to referral incentive awards.

About the Company

At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum, bringing transparency to the global capital markets.
We are the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®.
More assets are invested in products based upon our indices than any other index provider in the world.
S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI).
S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.
Our mission is Advancing Essential Intelligence.
We're more than 35,000 strong worldwide, driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future.
We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.
Our Values: Integrity, Discovery, Partnership.
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead.

Equal Opportunity

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.
Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf