# Job Description: Vice President, FinOps for AI

## About the Role
The Vice President, FinOps for AI will establish and direct the FinOps discipline specifically for artificial intelligence across the enterprise. This role is pivotal in providing governance, transparency, forecasting, allocation, optimization, and reporting on various AI-related spending, including generative AI platforms and accelerated computing. Collaborating closely with Technology, Engineering, Finance, Procurement, and business leadership, the incumbent will ensure that AI initiatives deliver measurable value with financial accountability.

Reporting to the Global Technology Services Cloud FinOps Operations Lead, the successful candidate will develop methodologies, analyze cost and usage data, and communicate insights about AI economics to senior leadership. The position requires strong judgment and adaptability due to the dynamic nature of AI pricing and tooling.

## Key Responsibilities
– Establish the enterprise FinOps for AI discipline inclusive of its scope, methodology, operating model, and performance metrics.
– Develop a comprehensive view of AI costs and consumption across various platforms and services.
– Define unit economics for AI expenditures and align them with business outcomes and customer value.
– Manage budgeting, forecasting, scenario modeling, and variance analysis for AI investments.
– Set standards for allocation, showback, and chargeback, including tagging and reporting by business unit and use case.
– Identify optimization opportunities and validate savings and cost-avoidance measures.
– Integrate cost estimation and governance guidance into AI development workflows.
– Collaborate with diverse teams including engineering, finance, and business stakeholders to drive effective governance.
– Define reporting and tooling requirements and communicate findings regarding AI spending and risks to leadership.

## Required Skills
– Proven experience in FinOps or cloud financial management.
– Strong knowledge of AI pricing and usage drivers.
– Ability to create operational frameworks from the ground up.
– Excellent analytical skills with experience in distinguishing forecasts from actuals.
– Strong communication skills to convey technical cost drivers to various stakeholders.
– Results-oriented mindset with a focus on measurable outcomes.

## Preferred Skills
– Bachelor’s degree in Finance, Accounting, Economics, Computer Science, or a related field.
– Over 10 years of relevant experience in FinOps, cloud financial management, or AI engineering.
– Extensive experience managing cloud expenditure across AWS, Azure, or GCP.
– Familiarity with AI economic principles, including model and inference costs.
– Experience with financial tools like Power BI, Tableau, or similar.

## Cloud Platforms & Technologies
### Cloud Providers
– AWS
– Azure
– GCP

### FinOps Platforms
– Databricks
– Snowflake
– OCI

### Programming Languages
– (No programming languages specified)

### Collaboration Tools
– Power BI
– Microsoft Fabric
– Tableau

## FinOps Responsibilities
– Cloud Cost Optimization
– Cost Allocation
– Budget Management
– Financial Reporting
– Chargeback / Showback

## Benefits
– Competitive salary and performance-based bonuses.
– Comprehensive health and wellness benefits.
– Flexible working arrangements.
– Learning and development opportunities.

## Useful Links
– [LinkedIn](https://…)
– [Company Website](https://…)
– [Careers](https://…)

## Why You Might Be Interested
This role presents a unique opportunity to shape the financial governance of AI initiatives in a rapidly evolving landscape. By leading the FinOps discipline within a prominent enterprise, you will have a significant impact on cost management and strategic investment decisions related to AI technologies. The position offers a collaborative environment and the chance to work with a diverse group of stakeholders in shaping the future of AI spending and governance.