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Senior FinOps Analyst

Posted 6 days ago
5-10 years experience
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AI Summary

The Senior FinOps Analyst will advise engineering and R&D teams on cloud spending, investigate cost anomalies, and identify optimization opportunities. They will serve as a primary partner-facing resource to align cloud spending with forecasts and business outcomes.

Company Description

We are seeking a Senior FinOps Analyst to advise engineering and R&D teams on cloud spending, investigate cost anomalies, and identify actionable optimization opportunities.

In this role, you will serve as a primary partner-facing resource for APAC-based teams, helping align cloud spending with forecasts and measurable business outcomes through cost analysis, education, and proactive engagement.

Enterprise experience is strongly preferred.

    Job Description

    Key Responsibilities

    • Serve as a primary contact for engineering teams seeking cloud cost guidance, responding to questions in real time through Slack and other asynchronous channels.
    • Proactively engage with high-spending R&D teams to:
      • Review monthly cloud spending.
      • Identify cost optimization opportunities.
      • Understand upcoming engineering roadmap plans and their potential cost implications.
    • Capture meeting notes, recommendations, recurring questions, and emerging cost patterns.
    • Monitor cloud and AI/LLM spending for anomalies, spikes, and inefficiencies.
    • Investigate spending variances, produce written root-cause analyses, and recommend optimization opportunities to team owners.
    • Document investigations in Jira and flag relevant findings for monthly reporting.
    • Participate in monthly forecasting by:
      • Reconciling central forecasts with team-level projections.
      • Documenting discrepancies.
      • Capturing team plans and anticipated spending.
    • Contribute practitioner insights and team-sourced information, including AI/LLM cost drivers, to Showback reporting and spending reviews.
    • Support cloud cost awareness and education across engineering and R&D teams.
    • Audit and update technical wiki content and documentation.
    • Model team cost projections and track team investments and projects.
    • Respond to cost-related requests through Slack, email, and other communication channels.
    • Focus on advisory and analytical delivery. Central budget ownership, vendor contract modeling, and platform/tooling engineering are outside the scope of this engagement.

      Qualifications

      Must-Have Skills

      • Senior-level experience in FinOps (cloud financial operations).
      • Strong expertise in cloud cost management and optimization.
      • Proven ability to investigate spending anomalies and produce clear, written root-cause analyses.
      • Experience advising and consulting directly with R&D or engineering teams in a partner-facing capacity.
      • Experience with cloud cost forecasting, including aligning central forecasts with team-level projections.
      • Familiarity with OpenAI/LLM cost drivers and monitoring LLM spending.
      • Experience with cost modeling and tracking team investments or projects.
      • Proficiency with Jira for documenting investigations and Slack for real-time and asynchronous support.
      • Experience maintaining technical documentation or wiki spaces and contributing to recurring reporting, such as Showback.
      • Strong written and verbal communication skills, with the ability to engage stakeholders and communicate findings effectively.

      Nice-to-Have Skills

      • AI/LLM governance expertise.
      • AI/LLM variable cost management expertise.

      Required Tools & Platforms

      • Jira and Slack.
      • Familiarity with OpenAI/LLM cost drivers and LLM spend monitoring.
      • Experience working with technical documentation and wiki spaces; no specific wiki platform is required.

      Location, Time & Engagement

      • Open to candidates based in eligible LATAM locations or the United States.
      • Ability to cover APAC business hours, with some overlap with Pacific Time and the afternoon in Central Time.
      • Remote contract engagement, 40 hours per week

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