# Senior Cloud & AI FinOps Analyst

**Job Requisition ID:** 26WD99820

## About the Role

Autodesk is seeking a Senior Cloud & AI FinOps Analyst to expand FinOps services for internal stakeholders across AWS, Azure, GCP, SaaS AI platforms, developer tools, and foundation-model APIs.

The role combines multi-cloud FinOps, analytics, business systems analysis, and product ownership for AI-related assets. You will develop self-service capabilities, improve transparency and accountability, and help teams make informed decisions about cloud and AI expenditure.

You will work with engineering, finance, product, cloud, automation, and service-owner teams to improve reporting, governance, forecasting, optimization, and operational automation.

## Key Responsibilities

– Own stakeholder-facing FinOps capabilities, including dashboards, reporting, documentation, enablement, automation, and intake workflows.
– Manage the FinOps services portal as the primary self-service resource for cloud and AI services, optimization guidance, license support, and budget assistance.
– Develop the FinOps-as-a-service operating model, roadmap, backlog, and continuous improvement processes.
– Lead a FinOps Champion Network across engineering, finance, and product teams through shared objectives, playbooks, and office hours.
– Promote governance practices, including showback and chargeback adoption, KPI standardization, infrastructure tagging, and AI tool user attribution.
– Build and maintain dashboards and reports in Apptio Cloudability, Apptio BI, and Turbonomic.
– Establish metric definitions, data-quality controls, reporting standards, allocation logic, and tagging or labeling requirements.
– Track usage, user seats, and token consumption for AI applications such as Cursor, ChatGPT Enterprise, and Claude.
– Identify unused licenses, inefficient token usage, spend anomalies, monthly variances, and major cost drivers.
– Present actionable findings to technical and non-technical stakeholders.
– Create repeatable optimization processes covering detection, recommendations, approvals, execution, and post-change validation.
– Support cloud and AI spend forecasting, budget tracking, and variance reporting.
– Improve effective cloud rates and AI vendor agreements through commitments, negotiated pricing, and discount mechanisms.
– Partner with cloud and automation engineering teams to implement guardrails and prevent spend regressions.

## Required Skills

– Bachelor’s degree in Finance, Accounting, Business Administration, Information Systems, Information Technology, or a related field, or equivalent practical experience.
– At least five years of experience as a Business Systems Analyst or FinOps Analyst.
– Experience with requirements elicitation, process mapping, stakeholder facilitation, and delivery of stakeholder-facing capabilities.
– Strong analytical and problem-solving skills, including metric definition, data validation, structured analysis of ambiguous problems, and data-based communication.
– Hands-on experience building and maintaining dashboards in Apptio Cloudability, Apptio BI, Turbonomic, or comparable platform-native tools.
– Knowledge of cloud billing and pricing models across AWS, Azure, and GCP.
– Understanding of SaaS and AI licensing models, including user seats, token-based consumption, and API pricing tiers.
– Experience partnering with technical teams on infrastructure or SaaS lifecycle automation, including requirements, acceptance criteria, and measurable outcomes.
– Strong written and verbal communication skills.
– Experience producing technical documentation and executive-level analysis.
– Customer-focused approach to service delivery, expectation-setting, and self-service improvement.

## Preferred Skills

– FinOps Certified Practitioner (FCP) or higher.
– AWS Cloud Practitioner, Microsoft Azure Fundamentals, or Google Cloud Digital Leader certification.
– Experience creating governance frameworks, provisioning workflows, or chargeback models for AI tools, LLMs, or developer productivity applications.

## Cloud Platforms & Technologies

### Cloud Providers
– AWS
– Microsoft Azure
– Google Cloud Platform (GCP)

### FinOps, Reporting & Optimization
– Apptio Cloudability
– Apptio BI
– Turbonomic

### AI Platforms & Developer Tools
– Claude
– OpenAI ChatGPT
– ChatGPT Enterprise
– Cursor
– Large language models (LLMs)
– Foundation-model APIs

### Other Technologies
– SaaS platforms
– ETL tools

## FinOps Responsibilities

– Deliver multi-cloud and AI spend visibility through dashboards, reporting, and self-service tools.
– Establish showback, chargeback, allocation, tagging, labeling, and user-attribution practices.
– Analyze cloud and AI usage, licensing, token consumption, anomalies, variances, and cost drivers.
– Identify underused licenses and inefficient AI consumption.
– Support forecasting, budget tracking, variance analysis, and cost narratives.
– Improve cloud rates and AI vendor pricing through commitments, negotiations, and discounts.
– Productize optimization through automated detection, recommendations, approvals, execution, and verification.
– Implement governance guardrails to reduce recurring overspend and prevent regressions.

## Benefits

– Health, financial, time-off, and wellness benefits.
– Comprehensive benefits package.

## Compensation

For U.S.-based roles, the expected starting base salary is **$98,000–$175,450**. Offers depend on experience and geographic location and may exceed this range. Additional compensation may include annual cash bonuses, sales commissions, stock grants, and benefits.

## Useful Links

– Benefits: https://benefits.autodesk.com/

## Why You Might Be Interested

This role offers the opportunity to combine FinOps, business systems analysis, analytics, and AI cost management. You would shape self-service capabilities and governance across multiple cloud providers and AI platforms. The position also provides ownership of reporting, optimization automation, forecasting, and a cross-functional FinOps Champion Network.