VP AI Governance Engineer

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Burlington, MA
Salary
$120,000–$202,500 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $161k
$105k most similar roles pay here $261k

This role pays less than 74% of similar roles. Most pay $161,250–$246,150 — the shaded band above. At the midpoint, this role pays about $161k versus about $204k 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 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · VP AI Governance Engineer

As an AI Governance Engineer, VP, you will join the State Street Alpha team to lead the governance, oversight, and responsible adoption of Generative AI, Agentic AI, Large Language Models, and AI-enabled engineering capabilities. You will collaborate with architecture, cybersecurity, compliance, product, legal, risk management, and FinOps teams to ensure AI solutions align with enterprise standards for security, regulatory requirements, and cost management. Your daily responsibilities include evaluating technologies against corporate policies, managing the intake and classification of AI tools using the NIST AI Risk Management Framework, and maintaining traceability for control requirements. The role requires expertise in financial services control environments, cloud platforms, and infrastructure. Required skills include experience with SQL, relational database theory, structured programming languages, system administration, and familiarity with technologies like Kafka and Salesforce within a mission-critical production support environment.

What you'll do

  • Evaluate AI technologies against enterprise architecture, cybersecurity, regulatory, privacy, and cost management requirements.
  • Translate corporate AI policies into specific technical standards and control requirements for the engineering organization.
  • Maintain traceability between enterprise obligations and the internal controls that satisfy them.
  • Represent the business unit in enterprise policy development to ensure software engineering needs are reflected.
  • Identify and negotiate exceptions where enterprise policies do not align with software engineering operations.
  • Manage the intake, classification, and approval process for AI use across all business functions.
  • Align AI inventory and classifications to the NIST AI Risk Management Framework and internal risk taxonomies.

What we're looking for

  • A four-year degree in a technical field such as Computer Science, Engineering, or another related technical field is required.
  • Candidates must have 4 to experience in Financial Technology and application production support.
  • Experience with SQL and a fundamental understanding of relational database theory or specific knowledge of Oracle/Microsoft SQL Server is required.
  • Experience in one or more structured programming languages and extensive system administration experience is required.
  • Proven ability to work in a mission-critical production support environment is required.
  • Relevant technical coursework or technical academic projects are required.
  • Familiarity with using Salesforce for case tracking is preferred.
  • Knowledge of cloud computing, virtualization, KAFKA, and other new technologies is preferred.

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