AI Governance Specialist, AVP
State Street
- Location
- Hyderabad
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- Posted
- Aug 25, 2026
Skills
About this role
Who we are looking for. 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 FinOps 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 Why this role is important to us. 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. What you will be responsible for 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 FinOps 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 FinOps 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 Minimum 12 years experience with a Bachelor's degree in a Technical or Analytical field or equivalent experience. Demonstrated Interest in AI Technologies, cloud service providers, governance, enterprise architecture, or FinOps 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