# Senior Cloud & AI FinOps Analyst

**Job Requisition ID:** 26WD99820

## About the Role

Autodesk is seeking a Senior Cloud & AI FinOps Analyst to expand FinOps-as-a-Service capabilities for internal stakeholders. The role combines multi-cloud financial management, business systems analysis, advanced analytics, and product ownership for cloud and AI-related services.

You will develop self-service tools, reporting, automation, and governance practices across AWS, Azure, GCP, SaaS AI platforms, developer tools, and foundation-model APIs. The role partners with engineering, finance, product, cloud, and automation teams to improve cost visibility, accountability, forecasting, and optimization.

## 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.
– Define the FinOps operating model, roadmap, backlog, and continuous improvement process.
– Lead a FinOps Champion Network across engineering, finance, and product teams.
– Promote 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.
– Track AI application usage, user seats, licenses, and token consumption to identify inefficiencies.
– Analyze anomalies, monthly variances, and key cost drivers, translating findings for technical and non-technical audiences.
– Establish allocation logic, reporting standards, and tagging requirements for accurate cost attribution.
– Productize optimization opportunities through detection, recommendations, approved execution workflows, and post-change validation.
– Support forecasting, budget tracking, and variance analysis for cloud and AI tooling.
– Improve 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 recurring overspend.

## 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 delivering stakeholder-facing capabilities.
– Strong analytical and problem-solving skills, including metric definition, data validation, and communicating evidence-based conclusions.
– Hands-on experience building and maintaining dashboards in Apptio Cloudability, Apptio BI, Turbonomic, or comparable platform-native tools.
– Working knowledge of multi-cloud billing and pricing models across AWS, Azure, and GCP.
– Understanding of SaaS and AI licensing models, including user seats, token-based usage, and API pricing tiers.
– Experience partnering with technical teams on infrastructure or SaaS lifecycle automation.
– Ability to define automation requirements, acceptance criteria, and measurable outcomes.
– Strong written and verbal communication skills, including technical documentation and executive-level reporting.
– 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 processes 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 & Developer Tools
– Claude
– OpenAI ChatGPT
– ChatGPT Enterprise
– Cursor
– Foundation-model APIs
– LLMs

## FinOps Responsibilities

– Provide multi-cloud and AI spend visibility through dashboards, reporting, and standardized KPIs.
– Establish cost allocation, tagging, labeling, showback, and chargeback practices.
– Track AI seats, license utilization, user attribution, and token consumption.
– Investigate anomalies, monthly variances, and major cost drivers.
– Identify and automate cost optimization opportunities with approval and verification controls.
– Support cloud and AI spend forecasting, budget monitoring, and variance narratives.
– Improve effective cloud rates and AI vendor pricing through commitments, negotiated rates, and discounts.
– Implement governance guardrails to reduce spend regressions.

## 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 comprehensive benefits.

## Benefits

– Health and financial benefits.
– Paid time away.
– Everyday wellness programs.
– Comprehensive benefits package.

## Useful Links

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

## Why You Might Be Interested

This role offers the opportunity to own FinOps products and services spanning public cloud, SaaS, and AI tooling. You would combine financial analysis, business systems work, automation, and stakeholder enablement in a role with broad cross-functional collaboration. The position also provides scope to develop governance and self-service capabilities for emerging AI usage models.