Senior FinOps Analyst ID94366

AgileEngine•Berwyn, 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 or the US, with some overlap with Pacific Time and afternoon Central Time. The analyst will support teams through real-time and asynchronous channels, proactively review spending and forecasts, investigate anomalies, recommend optimizations, and contribute to reporting and cost-awareness efforts.

Requirements

Be authorized to work for any employer in the US; the company cannot sponsor or take over employment visa sponsorship.
At least 4 years of senior-level FinOps or cloud financial operations experience.
Proficiency with complex SQL or SQL-adjacent queries to analyze cost and usage data and investigate variable-cost anomalies.
Strong cloud cost management and optimization expertise.
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 spending.
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 tools and ability to learn new tools quickly; Datadog is an example, and 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 in real time through Slack and other asynchronous channels.
Engage proactively with key spending teams, especially APAC colleagues, to review monthly cloud spending, identify actionable 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, prepare written root-cause analyses, and recommend optimizations.
Document investigations and recommendations in Jira and flag relevant items for monthly reporting.
Participate in monthly forecasting by aligning central forecasts with team projections, identifying discrepancies, documenting plans and expected spending, and preparing engagement notes for assigned teams.
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 help requests through Slack, email, and other channels.