# Head of Multi-Asset Engineering

**Company**: S&P Dow Jones Indices
**Location**: New York, NY
**Experience**: senior
**Job type**: full-time
**Salary**: $177,000 to $260,000
**Category**: Engineering
**Industry**: Finance

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/New-York-NY/Sr-Director--Head-of-Multi-Asset-Engineering_332572-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_26256093-9b3

## Description

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. This leader will partner closely with Product, Research & Design, Operations, and Commercial teams to accelerate time-to-market, enable AI-powered product innovation, and build scalable technology capabilities supporting current and future Multi-Asset index offerings.

**Responsibilities and Impact:**

- 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.

- Ensure technology investments align with business priorities, customer demand, and strategic objectives.

- 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 delivery of AI-enabled product capabilities, analytics, and data package solutions.

- Lead modern software engineering practices, product-oriented delivery models, and 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.

- Reduce duplication and technical fragmentation across Multi-Asset, Equities, and Fixed Income technology platforms.

- Act as a thought leader to drive adoption of common solutions across technology organisations.

- Leverage AI, automation, and agentic development approaches to measurably 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 full 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 with clarity and conviction.

**Requirements:**

- 15+ years of software engineering experience, including multiple years in an engineering leadership role.

- 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 delivering enterprise-scale, cloud-native platforms on AWS, Azure, or GCP.

- Hands-on experience integrating AI/ML capabilities into production software delivery pipelines.

- Bachelor's degree in Computer Science, Software Engineering, or a related engineering discipline.

**Preferred Qualifications:**

- 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.

**Compensation/Benefits Information:**

- The anticipated base salary range for this position is $177,000 to $260,000.

- Eligible for an annual incentive plan and additional S&P Global benefits.

**Benefits:**

- 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: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

- Beyond the Basics: From retail discounts to referral incentive awards,small perks can make a big difference.

## Skills

### Required
- software engineering
- engineering leadership
- cloud-native platforms
- AI/ML capabilities
- enterprise-scale architectures

### Nice to have
- Multi-Asset
- Equity
- Fixed Income
- Indices
- Quantitative Finance
- Portfolio Construction strategies
- index lifecycle management platforms
- back-testing systems
- portfolio analytics tools

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