Senior FinOps Analyst ID94366

AgileEngine•Richmond, VA

About The Position

AgileEngine is seeking a Senior FinOps Analyst to advise R&D teams on cloud cost management and optimization. The role involves supporting APAC business hours, which may mean evening or night shifts in LATAM or the US, with some overlap with Pacific Time and afternoon Central Time. The analyst will provide real-time and asynchronous support, consult with spending teams, investigate cost anomalies, contribute to forecasting and showback reporting, model team cost projections, and support cost awareness and education. Applicants must be authorized to work for any US employer; the company cannot sponsor or take over employment visa sponsorship.

Requirements

Authorization to work for any employer in the United States; visa sponsorship or transfer is not available.
At least 4 years of senior-level FinOps or cloud financial operations experience.
Proficiency in complex SQL or SQL-adjacent queries for cost and usage analysis and variable-cost anomaly investigations.
Strong expertise in cloud cost management and optimization.
Ability to investigate spend anomalies and produce written root-cause analyses.
Experience advising and consulting directly with R&D or engineering teams as a partner-facing resource.
Cloud cost forecasting experience, including aligning central forecasts with team-level projections.
Familiarity with OpenAI/LLM cost drivers and monitoring LLM spend.
Experience with cost modeling and team investment or project tracking.
Experience maintaining technical documentation and wiki spaces and contributing to recurring reporting such as showback.
Proficiency with Jira for documenting investigations and Slack for real-time and asynchronous support.
Proficiency with FinOps and cloud cost tooling and ability to learn new tools quickly; no specific tool is mandatory.
Upper-intermediate English proficiency.

Nice To Haves

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

Responsibilities

Serve as the primary contact for R&D teams seeking cloud cost guidance, triaging and answering questions through Slack and other asynchronous channels.
Engage proactively with spending teams, especially APAC-based colleagues, to review monthly cloud spending, identify cost opportunities, and understand upcoming engineering plans.
Capture meeting notes and summaries, including recommendations on recurring questions and emerging cost patterns.
Monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiencies; investigate flagged variances, prepare written root-cause analyses, and recommend optimizations.
Document investigations in Jira and flag relevant items for monthly reporting.
Participate in monthly forecasting by aligning central forecasts with R&D team projections, identifying discrepancies, and documenting upcoming spend plans.
Produce monthly forecast engagement notes for assigned team cohorts.
Contribute FinOps insights and team-sourced information, including AI/LLM cost drivers, to showback reporting and meetings with top-spending R&D teams.
Support Cost Awareness and Cost Education efforts and audit and update the cloud economics wiki space.
Model team cost projections and respond to customer help requests through Slack, email, and other channels.