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AI Governance Specialist, Officer

Job in Burlington, Middlesex County, Massachusetts, 01805, USA
Listing for: State Street
Full Time position
Listed on 2026-08-08
Job specializations:
  • IT/Tech
    AI Business & Operations, Information Security & Data Protection, AI Evaluation
Job Description & How to Apply Below

State Street Alpha AI Governance Specialist

State Street Alpha is seeking a motivated individual who can support the governance, oversight, and responsible adoption of AI technologies across the organization. This position offers the opportunity to collaborate with architecture, engineering, security, compliance, product, and Fin Ops teams to help ensure AI solutions align with enterprise governance, security, risk, and cost management standards.

Ideal candidates are enthusiastic about emerging AI technologies, cloud platforms governance frameworks, and operational cost management, and are eager to contribute to the development of scalable secure, and cost-effective AI practices.

The team you will join is part of Charles River Development (or CRD), which became part of State Street in 2018. CRD creates enterprise investment management software solutions for large institutions in institutional investment, wealth management, and hedge funds. Together we have created the first open front-to-back platform - State Street Alpha, that was launched in 2019.

As AI adoption continues to accelerate across the enterprise, governance, architectural oversight, and cost transparency are critical to ensuring solutions are secure, compliant, scalable, and operationally sustainable. This role will support the responsible evaluation, onboarding, governance, and consumption management of AI solutions and services while helping teams align to enterprise standards, financial accountability, and strategic objectives.

As a candidate for this position you will:

  • Support governance reviews and assessments for AI solutions, platforms and services.
  • Collaborate with cross-functional teams including architecture, engineering, security, compliance, legal, risk management, and Fin Ops teams.
  • Assist in the development and maintenance of AI governance standards, processes, and documentation.
  • Evaluate AI technologies and services against enterprise governance, security, compliance, operational, and cost management requirements.
  • Support AI consumption governance activities including monitoring model utilization, licensing usage, token consumption, and AI operational spend.
  • Assist with identifying AI cost optimization opportunities and governance controls to support responsible usage of enterprise AI platforms and services.
  • Contribute to tracking and reporting AI platform usage metrics, trends and governance compliance activities.
  • Participate in governance reviews related to AI model usage, third-part AI services, Generative AI tooling, and AI-enabled development platforms.
  • Provide coordination and administrative support for governance meetings, architecture reviews, and action tracking.

What we value:

  • Ability to work well with multiple priorities and effectively handle concurrent demands to prioritize responsibilities.
  • Interest in AI technologies, cloud platforms, governance, enterprise architecture, and Fin Ops practices.
  • Ability to collaborate effectively with architecture, engineering, security, compliance, operational, and financial management teams.
  • Strong analytical and problem-solving skills with attention to operational and cost efficiency.
  • Ability to analyze usage trends, consumption metrics, and governance data to support decision-making.
  • Ability to document processes, governance decisions, standards, and technical information clearly.
  • Self-driven mindset with a willingness to learn emerging AI technologies, governance frameworks, and cost optimization practices.

Education &

Preferred Qualifications:

  • Bachelor's degree in a Technical or Analytical field or equivalent experience.
  • Demonstrated interest in AI technologies, cloud service providers, governance, enterprise architecture, or Fin Ops practices.
  • Foundational understanding of AI concepts including Generative AI, Large Language Models (LLMs), and AI service consumption models.
  • Knowledge of cloud service providers such as Microsoft Azure, and Amazon Web Services.
  • Familiarity with reporting, dashboarding, or cost management tools is preferred.
  • Understanding collaboration and documentation tools such as Jira, Confluence, Service Now, or similar platforms is preferred.
  • Excellent written and…
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