About The Position

Who we are looking for We are seeking a dynamic, hands-on Senior IT Leader to oversee from concept to production innovative initiatives in the Data Intelligence space that support our strategic business objectives. This position requires in depth technical knowledge on software architecture concepts, financial research methodologies and advanced algorithms integration from AI domain. Why this role is important to us You will be joining the Institutional Services function that allows us to deliver a comprehensive, holistic approach to each client relationship — for asset managers and asset owners, insurance companies, and official institutions globally. It means our client-facing functions work together to bring the very best solutions and services the firm has to offer — across all of our locations, products, and capabilities. Join us if making your mark on the long-lasting client relationships we build is a challenge you are up for. This is a highly visible leadership role that directly contributes to long‑term client outcomes and the firm’s broader data and analytics strategy.

Requirements

  • Deep and broad expertise in Computer Science and Software Engineering, including modern architectural principles, design patterns, tools, and best practices.
  • Experience designing and successfully delivering client-facing, preferred cloud‑based data products and/or web applications.
  • Strong background with hands-on experience in data science, analytics, and data visualization, with a clear understanding of how these capabilities translate into differentiated client values.
  • Demonstrated track record of delivering innovative, enterprise‑scale technology solutions that address complex business and operational challenges.
  • Experience leading and mentoring global engineering teams, including teams distributed across regions and time zones.
  • Strong leadership presence with the ability to influence at the executive level, align diverse stakeholders, and drive consensus across business and technology partners.
  • Solid understanding of and in-depth exposure to Generative AI and modern UI technologies including Generative UI, and their practical applications in data products and platforms.
  • A results‑oriented mindset with a strong commitment to quality, accountability, and continuous improvement.
  • Experience developing AI/ML systems at scale in production or in high-impact research environments.
  • Proficiency in natural language processing, especially in LLMs and Generative AI systems.
  • Strong coding and software engineering skills, and experience with software engineering principles around testing, code reviews and deployment.
  • Advanced knowledge of distributed data solutions and computation frameworks.
  • 15+ years of experience in data science, quantitative research, data analytics, or related leadership roles.
  • Master’ s or PhD degree in Computer Science or related field

Responsibilities

  • Own and drive the design, development, and deployment of advanced analytics and machine‑learning solutions using State Street’s proprietary data assets.
  • Provide strategic and people leadership to DI teams
  • Partner closely with technology, research, product, and business teams to scale DI platforms, APIs, and client-facing analytics.
  • Act as a senior escalation point and trusted advisor for stakeholders, communicating analytical insights, product roadmap, and delivery progress to senior management and clients.
  • Drive talent development, succession planning, and a strong engineering and data culture across regions.

Benefits

  • Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
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