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Head of Multi-Asset Engineering
S&P Global. Lead the end-to-end technology strategy and execution roadmap for the Multi-Asset Index value stream .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading technology strategy and execution for Multi-Asset Index products, with a strong focus on cloud-native engineering, AI integration, and scalable architecture. Proven ability to mentor engineering teams and drive cross-functional collaboration to deliver business-critical technology solutions.
Highest-signal resume keywords
15+ Years Of Software Engineering ExperienceEngineering Leadership In Platform Or Product EngineeringCloud-Native Engineering PrinciplesMicroservices Design And API Gateway FrameworksDomain Expertise In Multi-Asset And Quantitative Finance
ATS Keywords
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Hard Skills
Software Delivery AutomationAI/ML IntegrationEvent-Driven ArchitectureCI/CD Pipeline AutomationReusable Platforms And Shared ServicesIndex Lifecycle ManagementPortfolio Analytics ToolsModern SDLC/PDLC PracticesArchitecture GovernanceTechnical Fragmentation Reduction
Soft Skills
Cross-Functional Stakeholder InfluenceMentoring And Team DevelopmentStrategic Communication
Tools & Technologies
AWSAzureGCPAPIsEngineering PatternsQuality Engineering PracticesBack-Testing SystemsCustom Index Solutions
Industry Keywords
Capital MarketsFintechAsset ManagementMarket InfrastructureFinancial Data Businesses
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformMicroservicesSDLC
About the role
Key responsibilities & 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
- Align technology investments with business priorities, customer demand, and strategic objectives
- Serve as 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
- Establish measurable outcomes for quality, resiliency, throughput, and business value delivery
- Define and execute strategies for shared business services, APIs, frameworks, and engineering patterns
- Develop reusable solutions and reduce duplication and technical fragmentation across technology platforms
- Drive adoption of common solutions across technology organizations
- Evaluate emerging technologies and 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
Requirements
What you’ll need- 15+ years of software engineering experience
- Multiple years in an engineering leadership role with direct accountability for platform or product engineering organizations
- Experience leading distributed global teams, owning delivery roadmaps and architecture governance
- Proven delivery of business-critical technology solutions in capital markets, fintech, asset management, exchanges, market infrastructure, or financial data businesses
- Experience building reusable platforms, shared services, APIs, and enterprise-scale architectures
- Cloud-native engineering principles, modern SDLC/PDLC practices, and software delivery automation
- Experience delivering enterprise-scale cloud-native platforms on AWS, Azure, or GCP
- 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
- 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
- Experience 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
- Indefinite right to work in the United States
Benefits
Comp & perks- Annual incentive plan eligibility
- Health care coverage
- Generous time off
- Continuous learning and career development resources
- Competitive pay
- Retirement planning
- Continuing education program
- Company-matched student loan contribution
- Financial wellness programs
- Family benefits and perks
- Retail discounts
- Referral incentive awards