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$161,250–$229,624.
Based on 240 similar postings.
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About State Street
State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody
State Street currently has
353 open roles
on FindRole.
Listed pay typically runs
$117,500–$192,972
across 202 roles with salary data.
JOB TITLE: Head of Multi Asset and Order Management Technology, MD - State Street Investment Management
The Head of Multi Asset and Order Management Technology, MD - State Street Investment Management leads the Investment Solutions Group technology organization. This senior engineering and transformation leader oversees the technology direction, solution architecture, and modernization of platforms supporting multi-asset, OCIO, and Charitable asset management. Key responsibilities include building proprietary engineering capabilities, decomposing portfolio-management workflows, and owning order-management systems from intent through execution. The role involves integrating research tools, rebalancing optimization, and agentic toolsets into portfolio-construction applications. Required skills include expertise in cloud-native engineering, event-driven platforms, and artificial intelligence-enabled engineering. The position solves the problem of fragmented data and workflow complexity by simplifying legacy technology, ensuring operational resilience, and delivering scalable service models for fiduciary clients across public and private markets.
Execute the multi-year technology blueprint to deliver business outcomes and sequence reengineering efforts across the investment lifecycle.
Own the architecture, release quality, and production performance for proprietary and third-party portfolio management platforms.
Design and implement modular services for portfolio construction, rebalancing optimization, and order generation across multiple asset classes.
Manage the order-management (OMS) capability from order creation and enrichment through execution handoff and status tracking.
Embed agentic toolsets into portfolio-construction applications to automate setup, maintenance, monitoring, and rebalancing.
Lead the simplification of legacy technology and the migration of fragmented data into a scalable, unified application footprint.
Oversee strategic vendor relationships, including service expectations, integration quality, and commercial performance.
Lead a global organization of engineers and architects to build a culture of technical excellence and accountability.
What we're looking for
15 or more years of experience in asset management technology, front-office engineering, portfolio management, trading platforms, investment data, AI-enabled engineering, or large-scale technology transformation.
Deep knowledge of institutional portfolio-management workflows across asset allocation, portfolio construction, and implementation for multi-asset investment teams and fiduciary clients.
Proven record of leading complex global engineering organizations and delivering multi-year platform modernization with measurable business outcomes and operational resilience.
Strong solution architecture capability including design thinking, design-for-failure, API-first design, event-driven platforms, shared services, cloud-native engineering, and resilient data platforms.
Experience rebuilding or consolidating a portfolio-construction or rebalancing platform in production and successfully retiring the legacy system.
Hands-on experience with specification-first delivery, translating requirements into specifications and tests with AI-assisted engineering.
Practical experience using artificial intelligence to improve investment workflows, engineering productivity, software quality, testing, documentation, and delivery effectiveness.
Bachelor’s degree in computer science, engineering, or a related field required.
Advanced degree or relevant professional qualification (preferred).
Experience across public and private markets, multi-asset solutions, and global regulated environments (preferred).
Generative AI
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