# 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 for internal stakeholders. The role combines multi-cloud financial management, business systems analysis, advanced analytics, and product ownership for Autodesk’s growing AI tooling portfolio.

You will develop self-service capabilities, reporting, automation, and governance practices covering AWS, Azure, GCP, SaaS AI platforms, developer tools, and foundation-model APIs. The role partners closely 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, 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 through shared objectives, playbooks, and office hours.
– Establish governance practices covering showback and chargeback, KPI standards, infrastructure tagging, and AI tool user attribution.
– Build and maintain dashboards and reports, with defined metrics, data-quality checks, and stakeholder-focused usability.
– Track AI application usage, user seats, licenses, and token consumption to identify underutilization and inefficient usage.
– Analyze anomalies, monthly variances, and major cost drivers, translating findings into actionable updates for technical and business leaders.
– Define allocation logic, reporting standards, and tagging requirements for accurate cost attribution to business units and cost centers.
– Develop repeatable optimization workflows covering detection, recommendations, approvals, execution, and post-change validation.
– Support cloud and AI spend forecasting, budget tracking, variance analysis, effective-rate management, vendor agreements, commitments, negotiated pricing, and discounts.
– Partner with cloud and automation engineering teams to implement guardrails and prevent recurring cost increases.

## 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 problem-solving skills, including metric definition, data validation, ambiguity management, and data-driven communication.
– Hands-on experience creating and maintaining dashboards in Apptio Cloudability, Apptio BI, Turbonomic, or comparable platform-native tools.
– Working knowledge of multi-cloud billing and pricing 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 to deliver 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 setting expectations and improving self-service visibility.

## 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 mechanisms 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, SaaS & Developer Tools
– Claude
– OpenAI ChatGPT
– ChatGPT Enterprise
– Cursor
– Foundation-model APIs
– LLMs
– ETL tools

## FinOps Responsibilities

– Provide multi-cloud and AI spend visibility through dashboards, reporting, and self-service tools.
– Establish showback, chargeback, allocation, tagging, and user-attribution practices.
– Track AI licenses, seats, usage, and token consumption.
– Analyze anomalies, variances, and cost drivers.
– Support forecasting, budget tracking, and variance narratives.
– Improve cloud rates and AI vendor agreements through commitments, negotiated pricing, and discounts.
– Identify and automate cost optimization opportunities.
– Implement governance guardrails to prevent spend regressions.

## Benefits

– Health and financial benefits.
– Paid time away.
– Everyday wellness support.
– Potential annual cash bonuses and stock grants as part of the compensation package.
– Additional benefits information: https://benefits.autodesk.com/

## Compensation

For U.S.-based roles, the expected starting base salary is **$98,000–$175,450**. Offers vary based on experience and geographic location and may exceed this range.

## Why You Might Be Interested

This role offers the opportunity to shape FinOps practices across cloud infrastructure and emerging AI tools. You will combine analytics, business systems analysis, automation, governance, and product ownership while working with engineering, finance, product, and cloud teams. The position also provides scope to influence AI cost attribution, usage visibility, forecasting, and optimization at scale.