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State Street
State Street

Sr. Data Product Management and Execution Manager, VP III - State Street Investment Management

Data & Analytics
3 weeks, 2 days ago

Are you ready to shape the future of global finance at the intersection of data, analytics, and artificial intelligence? State Street’s Data, Analytics & AI Services (DAAIS) team is looking for a visionary Senior Data Product and Execution Manager (VP III) to join our Boston hub. In this pivotal role, you will act as the architect of our data landscape, driving the end-to-end delivery of sophisticated product solutions that empower our client coverage and product business units. We are seeking a dynamic leader who can bridge the gap between complex technical data architecture and high-impact business strategy, ensuring our data products remain at the cutting edge of the investment management industry.

This is a unique opportunity for an ambitious professional to take ownership of the full product lifecycle, from initial conceptualization to seamless execution. You will immerse yourself in the intricate domains of client coverage and product management data, translating business requirements into scalable, innovative solutions that redefine how we serve our global clients. By joining our DAAIS team, you will collaborate with cross-functional experts in a fast-paced environment where your insights will directly influence our strategic trajectory. If you are a strategic thinker with a passion for leveraging data to solve complex financial challenges, we invite you to help us build the next generation of data-driven excellence at State Street.

Requirements

  • Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
  • Experience with statistical programming languages like R or Python.
  • Ability to derive actionable insights from large, complex datasets.
  • Strong mathematical background and analytical thinking.
  • Experience with data warehousing and ETL processes is beneficial.
  • Degree in Statistics, Mathematics, Economics, or a related field.

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