Senior FinOps Analyst ID94366

AgileEngine•Fort Lauderdale, 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, 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 engineering teams through real-time and asynchronous guidance, proactive spending reviews, forecasting, anomaly investigation, cost modeling, and reporting. The role also contributes to cost awareness and education and maintains cloud economics documentation.

Requirements

Authorized to work for any US employer; the company cannot sponsor or take over employment visa sponsorship.
At least 4 years of senior-level FinOps or cloud financial operations experience.
Proficiency in complex SQL or SQL-adjacent queries for analyzing cost and usage data and investigating 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 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 tools, and the 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 point of contact for R&D teams seeking cloud cost guidance, answering inbound questions in real time through Slack and other asynchronous channels.
Engage proactively with key spending teams, particularly APAC colleagues, to review monthly cloud spending, identify actionable cost opportunities, and understand upcoming engineering plans.
Record meeting notes and summaries, including recommendations, recurring questions, and emerging cost patterns.
Monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiencies; investigate 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 team-level projections, identifying discrepancies, and documenting teams' plans and spending intent.
Produce monthly forecast engagement notes for assigned team cohorts.
Contribute FinOps practitioner 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.