FinOps for AI, Vice President

STATE STREET CORPORATION

Quincy (MA)

On-site

USD 110,000 - 189,000

Full time

3 days ago

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Benefits offered by this job

401K with company match

Health insurance

Paid time off

Employee assistance program

Performance-based awards eligibility

Job summary

State Street Corporation invites a strategic FinOps executive to lead the AI cost governance program. You will align technology, engineering, finance, and procurement to drive cost transparency, budgeting, and optimization across AI platforms, gateways, and accelerated compute.

You will build unit economics, provide forecasts, and guide executive decision-making with clear showbacks and actionable insights.

Qualifications

Bachelor’s degree in Finance, Accounting, Economics, CS, Engineering, IS, or related field preferred.
10+ years of equivalent relevant experience.
Significant experience across FinOps, cloud financial management, technology finance, or cloud and AI engineering.
Direct experience with AI/machine-learning economics, such as model/inference costs or AI licensing.

Responsibilities

Establish the enterprise FinOps for AI discipline including scope, taxonomy, methodology, operating model, governance and performance measures.
Create integrated view of AI cost across hyperscaler services, accelerated compute, models, tokens and data platforms.
Define unit economics—cost per token, request, session, agent—and connect AI spend to products and outcomes.
Lead budgeting, forecasting, scenario modeling and variance analysis for AI investments.
Set allocation, showback and chargeback standards with tagging and reporting by unit and use case.
Identify optimization opportunities through model selection, context efficiency, and accelerated compute commitments.
Track realized savings and cost avoidance with clear distinction from estimates and forecasts.
Embed cost estimation and guardrails into AI intake/workflows before development begins.
Partner with AI and cloud platform teams to secure data and guide consumption decisions.
Define reporting and tooling requirements and communicate spend and risks to leadership.

Skills

FinOps expertise

AI pricing knowledge

Cloud cost management

Stakeholder communication

Governance & controls

Education

Bachelor’s degree in Finance/Accounting/CS/Engineering

10+ years of relevant experience

FinOps, cloud finance, tech finance experience

Experience with AWS/Azure/GCP

AI economics experience (model/inference costs)

Tools

Power BI

Tableau

Microsoft Fabric

Job description

Vice President, FinOps for AI

The Vice President, FinOps for AI will establish and lead the enterprise FinOps discipline for artificial intelligence. The role will provide financial governance, cost transparency, forecasting, allocation, optimization, and reporting across generative AI platforms, foundation models, AI gateways, agentic solutions, copilot technologies, accelerated compute, and embedded AI services. Acting as the strategic link among Technology, Engineering, Finance, Procurement, and business leadership, this leader will help ensure that AI innovation delivers measurable value with clear financial accountability.

Who We Are Looking For

Reporting to the Global Technology Services Cloud FinOps Operations Lead within the Technology Business Office, the candidate will define how Street governs, measures, forecasts, allocates, and optimizes AI spend across the enterprise. This is a hands-on practitioner-leader role. The successful candidate will build the methodology, analyze cost and usage data, partner with engineering and application teams at the point of consumption, and present a clear view of AI economics to senior leadership. The role requires sound judgment and adaptability as taxonomies, tooling, ownership models, and vendor pricing continue to evolve.

Why This Role Is Important To Us

AI adoption and spending are growing rapidly and span cloud services, model providers, gateways, data platforms, accelerated compute, and software licensing. Because these services use pricing models that differ from traditional infrastructure, disciplined financial governance is essential to maintain transparency, manage risk, and guide investment decisions. This role will create clear accountability for AI costs, establish unit economics before consumption patterns become entrenched, and ensure new workloads are estimated and sized before development begins. The work will support optimization targets and accelerate the shift from reactive reporting to cost-aware engineering and investment management.

What You Will Be Responsible For

Establish the enterprise FinOps for AI discipline, including its scope, taxonomy, methodology, operating model, governance, controls, and performance measures.
Create an integrated view of AI cost and consumption across hyperscaler services, accelerated compute, AI gateways, models, tokens, agents, copilots, data platforms, and embedded vendor capabilities.
Define actionable unit economics—including cost per token, request, session, agent, and use case—and connect AI spending to products, services, business outcomes, and customer value.
Lead budgeting, forecasting, scenario modeling, and variance analysis for AI investments, with early warning when consumption or run rate moves ahead of plan.
Set allocation, showback, and chargeback standards, including tagging, attribution, shared-cost treatment, and reporting by business unit, application, product, and use case.
Identify and deliver optimization opportunities through model selection and routing, prompt and context efficiency, caching, batching, inference right-sizing, accelerated-compute commitments, and retirement of low-value consumption.
Track and validate realized savings and cost avoidance, clearly distinguishing actual results from estimates, forecasts, and recommendations.
Embed cost estimation, financial guardrails, and onboarding guidance into AI intake and development workflows so teams understand expected run costs and trade-overs before they build.
Partner with AI and cloud platform teams, engineering, architecture, security, procurement, finance, and business stakeholders to secure reliable data, influence consumption decisions, and support effective governance.
Define reporting and tooling requirements, validate implementation logic, and communicate AI spend, risks, trade-overs, and opportunities through executive showback, leadership reviews, and planning cycles.

What We Value

Practical FinOps or cloud financial management experience, with the credibility to influence engineering and business decisions tied to real consumption.
Strong understanding of AI pricing and consumption drivers, including tokens, inference, context windows, model tiers, accelerated compute, licensing, and actual usage behavior.
Ability to build a new operating discipline from the ground up by setting methodology, making defensible assumptions, documenting decisions, and adapting as the market matures.
Strong analytical judgment and a disciplined distinction among actuals, forecasts, estimates, opportunities, and recommendations.
Clear, concise communication of technical cost drivers and business trade-overs to engineers, finance partners, and senior executives.
A results-oriented mindset focused on measurable, validated outcomes, supported by high standards for documentation, governance, and auditability.

Education & Preferred Qualifications

Bachelor’s degree in Finance, Accounting, Economics, Computer Science, Engineering, Information Systems, or a related field preferred
10+ years of equivalent relevant experience
Significant experience across FinOps, cloud financial management, technology finance, or cloud and AI engineering, preferably in a large, regulated enterprise.
Demonstrated success managing or optimizing cloud spend at scale across AWS, Azure, or GCP; exposure to Databricks, Snowflake, OCI, or similar platforms is beneficial.
Direct experience with AI or machine-learning economics, such as model and inference costs, GPU or accelerated compute, AI gateways, token-based pricing, or AI software licensing, strongly preferred.
Experience with budgeting, forecasting, allocation, tagging, showback or chargeback, optimization, and cloud commitment management.
Familiarity with the FinOps Framework, FOCUS cost data standards, or TBM taxonomy; FinOps or relevant cloud certification preferred.
Proficiency working with cost and usage data and reporting platforms such as Power BI, Microsoft Fabric, Tableau, or comparable cloud financial analytics tools.

Additional Requirements

Success requires strong partnership across cloud and AI platform engineering, application teams, architecture, security, procurement, finance, and business leadership. The candidate must be effective in a matrixed environment where pricing models, tooling, data, and ownership are evolving, and where influence often matters more than direct authority. Limited travel may be required.

Salary Range

Salary Range: $110,000 - $188,750 Annual. The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes:

our 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)
and, eligibility for certain tax advantaged savings plans

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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