Senior FinOps Analyst ID94366

AgileEngine•Jacksonville, FL

About The Position

AgileEngine is seeking a Senior FinOps Analyst to advise R&D teams on cloud cost management and optimization. The role covers APAC business hours, requiring evening or night shifts in LATAM/US, with some overlap with Pacific Time and afternoon Central Time. The analyst will support teams through real-time and asynchronous channels, proactive spending reviews, monitoring and investigating cloud and AI/LLM costs, forecasting, cost modeling, reporting, and cost-awareness initiatives.

Requirements

Authorized to work for any employer in the United States; the company cannot sponsor or take over employment visa sponsorship.
At least 4 years of senior-level FinOps (cloud financial operations) experience.
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 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 given as an example, but no single 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, responding to questions in real time through Slack and other asynchronous channels.
Engage proactively with key spending teams, particularly APAC-based colleagues, to review monthly cloud spending, identify cost opportunities, understand upcoming engineering plans, and document meeting notes, recommendations, recurring questions, and cost patterns.
Monitor cloud and AI/LLM spending for anomalies, cost spikes, and inefficiencies; investigate variances, write root-cause analyses, and provide optimization recommendations.
Document investigations in Jira and flag relevant items for monthly reporting.
Participate in monthly forecasting by aligning central forecasts with team projections, identifying discrepancies, documenting planned spending, and preparing engagement notes for assigned teams.
Contribute FinOps 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.