# 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 multi-cloud infrastructure, SaaS AI platforms, developer tools, and API-based foundation models.

The role combines FinOps execution, business systems analysis, advanced analytics, and product ownership. You will develop self-service capabilities, improve spend visibility, and automate recommendation and optimization workflows across AWS, Azure, GCP, and AI applications.

You will collaborate with engineering, finance, product, cloud, and automation teams to improve cost governance, attribution, forecasting, and decision-making. The role also includes leading a FinOps Champion Network and supporting the adoption of shared operating practices.

## Key Responsibilities

– Own stakeholder-facing FinOps capabilities, including dashboards, reporting, documentation, enablement, automation, and intake workflows.
– Manage the FinOps services portal as the central self-service resource for cloud and AI services, optimization guidance, license support, and budget assistance.
– Maintain the FinOps operating model, including roadmap planning, backlog prioritization, and continuous improvement.
– Lead a FinOps Champion Network across engineering, finance, and product teams.
– Promote governance practices such as showback and chargeback, KPI standardization, infrastructure tagging, and AI tool user attribution.
– Build and maintain dashboards and reporting in Apptio Cloudability, Apptio BI, and Turbonomic.
– Define metric standards, validate data quality, and improve reporting usability.
– Track AI application usage, user seats, license utilization, and token consumption across developer and corporate tools.
– Analyze spend anomalies, monthly variances, and major cost drivers, and communicate findings to technical and business stakeholders.
– Establish allocation logic and tagging or labeling requirements for accurate cost attribution to business units and cost centers.
– Productize cost optimization activities through automated detection, recommendations, approval workflows, execution, and post-change verification.
– Support cloud and AI spend forecasting, budget tracking, and variance analysis.
– Improve effective cloud rates and AI vendor agreements through commitments, negotiated pricing, and discount programs.
– 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 5 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, ambiguity management, and evidence-based communication.
– Hands-on experience building and maintaining dashboards using Apptio Cloudability, Apptio BI, Turbonomic, or comparable platform-native tools.
– Working knowledge of cloud billing and pricing 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.
– 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) certification 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

– Amazon Web Services (AWS)
– Microsoft Azure
– Google Cloud Platform (GCP)

### FinOps and Cloud Management

– Apptio Cloudability
– Apptio BI
– Turbonomic

### AI Platforms and Developer Tools

– Claude
– OpenAI ChatGPT
– ChatGPT Enterprise
– Cursor

## FinOps Responsibilities

– Provide multi-cloud and AI spend visibility through dashboards, reporting, and self-service services.
– Establish showback and chargeback practices, allocation logic, tagging standards, and user-attribution requirements.
– Track cloud and AI usage, including license seats, token consumption, and underutilized services.
– Analyze anomalies, variances, cost drivers, and changes in foundation model API or ETL tool spend.
– Identify and automate optimization opportunities, including approvals, implementation, and verification.
– Support forecasting, budget tracking, variance narratives, and vendor cost management.
– Improve cloud rates and AI vendor economics through commitments, negotiated pricing, and discounts.
– Implement governance guardrails to prevent recurring overspend.

## Compensation

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

## Benefits

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

## Useful Links

– Benefits: https://benefits.autodesk.com/
– Belonging: https://www.autodesk.com/company/global-belonging

## Why You Might Be Interested

This role offers the opportunity to shape FinOps services across public cloud, SaaS AI platforms, and developer tools. It combines analytics, business systems analysis, automation, governance, and product ownership. The position also provides broad cross-functional exposure through partnerships with engineering, finance, product, cloud, and automation teams.