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State Street

Senior Data Product Management and Execution Manager

State Street

Senior Data Product Manager at State Street Investment Management driving data product solutions delivery. Leading teams and collaborating with global teams in financial services industry.

Posted 4/17/2026full-timeQuincy • Massachusetts • 🇺🇸 United StatesSenior💰 $120,000 - $217,500 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead an agile product manager, data analyst, and engineering team in a matrix organization to deliver innovative solutions that address evolving business and client requirements
  • Collaborate with global teams to execute cross-border projects and continuously enhance best practices in data product solutions
  • Mentor and develop junior data product manager, data analyst, and engineers, fostering a culture of continuous learning and high performance
  • Oversee data demand and problem rationalization, product feature design, and data workflow for both structured and unstructured data, leveraging AI technologies
  • Pioneer the design and development of data agents using agentic AI frameworks

Requirements

What you’ll need
  • Bachelor’s degree in computer science, or a related field
  • Minimum 17 years of experience in the financial services industry
  • At least 15 years of hands-on experience in core data domains in asset management industry such as Sales, Flow, product, marketing, and finance
  • At least 10 years of data product management experience and proficient with product lifecycle management and business driven execution
  • At least 10 years of hands-on experience with Salesforces, its vendor ecosystem, and global sales distribution channels
  • Familiar with index based passive product, actively managed ETF, digital product, and derivative enhanced product from research, launch, and post-launch data management
  • Proficiency in modern data management tools (e.g., Snowflake, Databricks) and programming languages (Python, SQL);
  • familiarity with AI code generation tools such as Anthropic Code, Codex, and GitHub Copilot
  • Minimum 2 years of experience working with unstructured data (e.g., Sales note, 13F filings, news, social media)
  • Exceptional written and verbal communication skills, with the ability to engage stakeholders across multiple countries
  • Results-driven, detail-oriented, and candid in approach
  • Any of the following is highly desirable: Prior experience in a data product or engineering role within a financial institution. Experience with structured and unstructured data management tools (e.g., Snowflake, Databricks, document management systems). Completion of CFA Level II, FRM, or equivalent certification.

Benefits

Comp & perks
  • 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)
  • eligibility for certain tax advantaged savings plans

ATS Keywords

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Hard Skills & Tools
data product managementdata workflowdata feature designdata managementprogramming languagesPythonSQLAI technologiesdata analysisproduct lifecycle management
Soft Skills
mentoringcollaborationcommunicationresults-drivendetail-orientedcandidcontinuous learninghigh performancestakeholder engagementleadership
Certifications
Bachelor's degree in computer scienceCFA Level IIFRM