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Senior AI FinOps Data Analyst
Red HatSenior FinOps Data Analyst managing cloud financial strategies using AI technologies at Red Hat. Collaborating with cross-functional teams to drive efficiency and optimize financial performance.
Posted 7/21/2026full-timeRaleigh • North Carolina • 🇺🇸 United StatesSenior💰 $88,510 - $141,630 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI and GPU infrastructure modeling, cloud financial management, and data analysis, with a strong ability to translate technical data into actionable financial strategies. Proficient in SQL and scripting languages, with a solid understanding of public cloud billing and cost optimization.
Highest-signal resume keywords
AI Infrastructure ModelingCloud Financial ManagementData AnalysisSQL ProficiencyPublic Cloud Billing
ATS Keywords
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Hard Skills
Data AnalysisSQLPythonCloud Financial ManagementAI Infrastructure ModelingCost AllocationOptimization ConceptsForecastingTechnical ReportingData Ingestion
Soft Skills
Strong Communication SkillsInfluencing SkillsCross-Functional Collaboration
Tools & Technologies
DataverseAWSGCPAzure
Industry Keywords
FinOpsIT FinanceTechnology OperationsOperational DatasetsPurchase Order Management
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- AI & GPU Infrastructure Modeling: Track, evaluate, and forecast cross-environment financial trends driven specifically by AI platform adoptions, machine learning workloads, and enterprise GPU utilization.
- Dataverse Pipeline Integration: Act as the core architect for cloud and data center data collection, building reliable ingestion loops that funnel technical usage data directly into Dataverse.
- Dynamic PO Lifecycle Management: Reform the purchase order framework from an annual forecast model to an active, twice-a-year allocation refresh cycle that keeps pace with AI investment spikes.
- Cross-Functional Bridge Building: Partner directly with workstream service owners and IT engineering teams to translate raw system metrics into shared financial strategies, preventing data misinterpretation.
Requirements
What you’ll need- Bachelor's degree in Information Technology, Data Analytics, Computer Science, or a related field; or equivalent combination of education and relevant professional experience
- 2+ years of progressive experience in FinOps, cloud financial management, data analysis, IT finance, or a related technology operations role
- Demonstrated ability to work with large operational datasets using SQL and at least one scripting language (Python preferred)
- Working knowledge of public cloud billing, cost allocation, and optimization concepts across at least one major provider (AWS, GCP, or Azure)
- Experience translating technical usage and spend data into clear reports, forecasts, or recommendations for engineering and leadership stakeholders
- Strong written and verbal communication skills; ability to influence cross-functional partners without direct authority
Benefits
Comp & perks- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!