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State Street

SVP, Data & AI Governance and Risk

State Street

. Establish and operate enterprise-wide governance, risk, and regulatory oversight for Data, AI, and Agentic AI .

Posted 5/22/2026full-timeBoston • Massachusetts, New Jersey • 🇺🇸 United StatesLead💰 $225,000 - $337,500 per yearWebsite

About the role

Key responsibilities & impact
  • Establish and operate enterprise-wide governance, risk, and regulatory oversight for Data, AI, and Agentic AI
  • Define and maintain enterprise policies, standards, and governance operating model for Data and AI
  • Partner with each line of business to define and maintain the target state for Data and AI governance
  • Own the enterprise inventory of AI initiatives across AI, GenAI, ML, and Agentic AI
  • Act as the single enterprise point of contact for regulators, audit, and external inquiries related to Data and AI
  • Monitor adherence to approval processes and continuously improve them to reduce friction and late-stage escalation

Requirements

What you’ll need
  • Experience in Data governance and data management
  • Experience in AI, GenAI, and Agentic AI
  • Knowledge in Responsible AI and AI risk classification
  • Familiarity with third-party and vendor AI usage
  • Strong understanding of data quality and data incident management
  • Proficient in regulatory compliance and engagement with auditors

Benefits

Comp & perks
  • 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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Applicant Tracking System Keywords

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Hard Skills & Tools
Data governanceData managementAIGenAIAgentic AIResponsible AIAI risk classificationData qualityData incident managementRegulatory compliance