Red Hat

Senior AI FinOps Data Analyst

Red Hat$88K — $141K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in IT, Data Analytics, Computer Science, or related field; or equivalent experience
  • 2+ years in FinOps, cloud financial management, data analysis, or similar role
  • Experience working with large datasets using SQL and a scripting language (Python preferred)
  • Knowledge of public cloud billing and cost allocation concepts (AWS, GCP, Azure)
  • Ability to communicate technical data clearly to stakeholders

Responsibilities

  • Track and forecast financial trends driven by AI and machine learning workloads
  • Architect cloud and data center data collection and integration into Dataverse
  • Transform purchase order framework for dynamic AI investment management
  • Collaborate with service owners and IT teams to align financial strategies with system metrics

Benefits

  • Comprehensive medical, dental, and vision coverage
  • Flexible Spending Account - healthcare and dependent care
  • Health Savings Account options
  • 401(k) retirement plan with employer match
  • Paid time off and holidays
  • Paid parental leave for new parents
  • Disability and paid family leave benefits
  • Employee stock purchase plan and tuition reimbursement
Full Job Description
Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Job summary

Red Hat is looking for a Senior FinOps Data Analyst to join us in Raleigh. The Senior FinOps Data Analyst sits at the intersection of Cloud Infrastructure, Corporate Finance, and AI Engineering. This is not an administrative or passive reporting role; it requires an AI thought-first mindset and a deep curiosity for building internal tools that eliminate manual friction.
Rather than relying on a single legacy platform, this analyst treats FinOps as a dynamic, multi-tool environment-leveraging raw operational datasets to power AI agents, predict cloud economics, and steer the enterprise's hybrid cloud strategy.

What you will do:
  • 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.


What you will bring:
  • 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


Preferred Qualifications
  • Experience building automations, internal tools, or data pipelines - including use of AI-assisted development tools (e.g., Cursor, LLM APIs)
  • Familiarity with enterprise data platforms (Snowflake, Dataverse, or similar warehouse/lake environments)
  • Experience modeling OpEx and CapEx together for hybrid cloud or infrastructure planning
  • Exposure to AI/GPU workload cost forecasting or high-growth technology spend environments
  • Experience partnering with shared services, procurement, or finance teams on invoice validation, chargeback, or PO lifecycle management


The salary range for this position is $88,510.00 - $141,630.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

Benefits
• 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!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

About Red Hat

Red Hat, Inc. is a leading provider of open source software solutions, including Linux, Kubernetes, and Ansible. The company was founded in 1993 and is headquartered in Raleigh, North Carolina. Red Hat operates in over 100 countries and has more than 13,000 employees worldwide. The company is committed to open source innovation and has a strong community of developers and partners. Red Hat was acquired by IBM in 2019 and is now part of IBM's Hybrid Cloud division.
Learn more about Red Hat
Size
13,000 employees
Industry
Founded
1993

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