Senior FinOps Analyst ID94366

AgileEngine•Irving, IL

About The Position

AgileEngine is seeking a Senior FinOps Analyst to advise R&D teams on cloud cost management and optimization. The role supports APAC business hours, which may mean evening or night shifts in LATAM/US, with some overlap with Pacific Time and afternoon Central Time. The analyst will support cloud and AI/LLM cost monitoring, forecasting, reporting, cost modeling, and stakeholder advisory, while providing real-time and asynchronous assistance to engineering teams.

Requirements

At least 4 years of senior-level FinOps or cloud financial operations experience.
Authorization to work for any employer in the United States; the employer is unable to sponsor or take over employment visa sponsorship.
Proficiency in complex SQL or SQL-adjacent queries for analyzing cost and usage data and investigating variable cost anomalies.
Strong expertise in cloud cost management and optimization.
Ability to investigate spending 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 tracking team investments or projects.
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 tools, 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 inbound questions through Slack and other asynchronous channels.
Engage proactively with key spending teams, especially APAC 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 spending for anomalies, cost spikes, and inefficiencies; investigate variances, write root-cause analyses, and provide actionable optimization recommendations.
Document investigations in Jira and flag relevant items for monthly reporting.
Participate in monthly forecasting by aligning central forecasts with R&D team projections, surfacing discrepancies, and documenting plans and intended spending.
Produce monthly forecast engagement notes for assigned team cohorts.
Contribute FinOps expertise 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 initiatives 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.