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Technical Solutions Lead - Wealth Services, MD

Job in Boston, Suffolk County, Massachusetts, 02108, USA
Listing for: State Street
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    IT Project Manager, Systems Engineer
Job Description & How to Apply Below
Position: Technical Solutions Lead - State Street Wealth Services, MD

Technical Solutions Lead, Managing Director – State Street Wealth Services

Make Tomorrow Happen. Advance your career at State Street.

At State Street, we partner with institutional investors worldwide to help them manage risk, respond to challenges, and drive performance. Our people are at the center of everything we do—bringing innovation, discipline, and collaboration to shaping the future of financial services.

We are seeking a Technical Solutions Lead (Managing Director) to play a critical leadership role in the development and delivery of a new platform—an ambitious initiative focused on redefining digital wealth and retirement solutions through modern technology, AI, and data-driven insights.

Role Overview

The Technical Solutions Lead is a senior technology leader responsible for working with teams spanning organizations driving execution across the platform, ensuring that requirements are translated into high-quality, integrated, and scalable solutions.

This role bridges architecture and execution, owning end-to-end delivery across internal and partner development teams. The successful candidate will lead multidisciplinary teams spanning AI/ML, application development, and data platforms, while ensuring solutions meet enterprise standards for scale, security, and operational readiness.

What You Will Be Responsible For

Solution Execution & Delivery Leadership

  • Translate platform architecture and product requirements into executable delivery plans across internal and partner teams
  • Lead coordinated delivery of end-to-end solutions spanning:
    Front-end applications, Backend services and APIs, Data platforms and AI/ML components
  • Ensure consistent, high-quality execution aligned to architectural standards

Cross-Domain Integration

  • Drive seamless integration across application, data, AI, and partner ecosystems
  • Identify and resolve cross-team dependencies, integration risks, and technical gaps
  • Maintain alignment with requirements and architecture while ensuring practical execution

Team Leadership & Development

  • Lead and develop multidisciplinary engineering teams across, Applied AI / ML, Data engineering, Application development
  • Provide day-to-day direction, prioritization, and coaching
  • Build a culture of accountability, quality, and continuous improvement

Delivery Quality & Enterprise Readiness

  • Ensure solutions meet enterprise standards for Scalability and performance, Security and resilience, Regulatory and compliance requirements, and Operational supportability
  • Oversee transition from proof-of-concept to pilot and production
  • Establish practices for testing, documentation, release management, and operational readiness

Execution Governance & Process

  • Define and manage delivery processes, including Sprint planning and execution cadence, Cross-team coordination mechanism Issue tracking, escalation, and risk management
  • Align engineering execution with product priorities and architectural constraints

Stakeholder Coordination

  • Serve as the primary coordination point across engineering, product, design, and risk/compliance teams
  • Communicate delivery status, trade-offs, and risks to senior stakeholders
  • Facilitate alignment across internal teams and external partners
What We Value
  • Proven ability to lead delivery of complex, multi-component technology platforms
  • Strong capability in translating architecture into executable, coordinated delivery
  • Experience operating in fast-paced, cross-functional environments with ambiguity
  • Leadership style that emphasizes team development, accountability, and execution discipline
  • Ability to communicate effectively across both technical and non-technical audiences
Qualifications
  • 15+ years of experience in software engineering, data platforms, or AI/ML-enabled systems
  • Demonstrated experience leading teams delivering enterprise-scale, integrated technology solutions
  • Strong foundation across:
    Application development (front-end and backend), Data and analytics platform, AI/ML-enabled systems
  • Experience integrating complex systems across APIs, data layers, and partner ecosystems
  • Familiarity with modern cloud platforms and enterprise integration patterns
  • Experience in financial services or other regulated environments
  • S…
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