Senior FinOps Analyst ID94366

AgileEngine•Dallas, TX

About The Position

AgileEngine is hiring 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 serves as a primary resource for cloud-cost questions, supports forecasting and showback reporting, investigates cloud and AI/LLM spending, and develops optimization recommendations. The position also contributes to cost-awareness education and maintains cloud economics documentation.

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 company cannot sponsor or take over employment visa sponsorship.
Proficiency with complex SQL or SQL-adjacent queries for cost and usage analysis and variable-cost anomaly investigation.
Strong cloud cost management and optimization expertise.
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.
Cost modeling and team investment or project tracking experience.
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; no single tool is mandatory.
Upper-intermediate English level.
Ability to cover APAC business hours, with some overlap with Pacific Time and afternoon Central Time.

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, triaging and answering questions in real time through Slack and other asynchronous channels.
Engage proactively with spending teams, particularly APAC-based colleagues, to review monthly cloud spending, identify 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, spikes, and inefficiencies; investigate variances, write root-cause analyses, and provide actionable optimization recommendations.
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, and documenting plans and intended spend.
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.