AI Security and Data Protection Governance and Controls MD

State Street

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Quincy, MABerwyn, PAStamford, CTPrinceton, NJClifton, NJAustin, TX
Salary
$170,000–$282,500 / yr
Employment
Full-time
Posted
47 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $226k
$140k $298k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $167,892–$248,875 — the blue band above. At the midpoint, this role pays about $226k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 338 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 184 roles with salary data.

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View all roles at State Street

At a glance

TL;DR · AI Security and Data Protection Governance and Controls MD

JOB TITLE: AI Security and Data Protection Governance and Controls MD The Vice President, AI Security and Data Protection Governance and Controls joins the Global Cybersecurity team to establish and oversee the enterprise governance framework for secure AI and data protection. This role involves translating strategy into policies, standards, and measurable remediation programs while embedding security-by-design across platforms and third-party services. Key responsibilities include governing the discovery and risk assessment of AI models, defining risk-based prioritization, and designing minimum control requirements for cloud, network, and identity platforms. The candidate will utilize skills in security architecture, technology risk, and control design to manage complex transformations. Required technical knowledge includes PKI, certificate management, and asset governance platforms. This role addresses emerging technology risks and ensures regulatory readiness within a large, highly regulated organization by coordinating cross-functional security and data protection requirements.

What you'll do

  • Establish and maintain the enterprise governance framework, policies, and accountability models for AI security and data protection.
  • Govern the discovery, inventory, classification, and risk assessment of AI models, data assets, and technology dependencies.
  • Define risk-based prioritization criteria and minimum control requirements for applications, infrastructure, cloud, and network platforms.
  • Oversee the enterprise roadmap for transitioning vulnerable security implementations to approved secure technologies and control solutions.
  • Embed security-by-design and adaptable control requirements into solution designs, architecture reviews, and engineering standards.
  • Define AI security requirements and due-diligence criteria for third-party products, cloud services, and strategic vendors.
  • Establish dashboards and key risk indicators to measure inventory coverage, risk exposure, and remediation progress.
  • Lead and develop a team responsible for governance, control oversight, and cross-functional program execution.

What we're looking for

  • Bachelor’s degree in Information Security, Computer Science, Engineering, Mathematics, AI Security and Data Protection, or a related discipline.
  • Advanced degree (preferred).
  • 10+ years of progressive experience in cybersecurity, AI security, data protection, security architecture, technology risk, or control governance.
  • CISSP, CISM, CRISC, CCSP, cloud security, or comparable industry certifications (preferred).
  • Deep understanding of AI security, data protection, security architecture, governance, risk, and control principles.
  • Proven leadership of complex, cross-functional cybersecurity or technology transformation programs with measurable outcomes.
  • Experience developing enterprise security policies, standards, and controls in a large, highly regulated organization.
  • Knowledge of security and data protection discovery tools, PKI, cloud architectures, and GRC platforms.

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