Cloud FinOps Analyst

The Cloud Business Office is seeking a Cloud FinOps & AI Automation Analyst to help evolve the organization into a data-driven, automated Cloud Value Office. The role combines cloud financial management, data analytics, process optimization, and applied AI to improve cost efficiency, governance, operational effectiveness, customer experience, and value realization.

Working across Finance, Technology, Cloud Engineering, application teams, product owners, and business stakeholders, this analyst will use cloud and financial data, APIs, automation, and AI to generate actionable insights and automate repeatable Cloud Business Office activities. The role governs, analyzes, optimizes, and demonstrates value from cloud investments; it does not build or operate the enterprise cloud platform.

Key Responsibilities

Cloud Financial Management and FinOps

• Analyze cloud consumption, cost, utilization, budgets, forecasts, and financial trends to identify rightsizing, commitment, scheduling, waste-reduction, and architecture optimization opportunities.
• Develop forecasts, detect budget variances and anomalies, and support cost allocation, showback/chargeback, unit economics, and application or business-service cost analysis.
• Partner with application owners and engineering teams to convert consumption data into actionable recommendations, track opportunities through implementation, and validate realized savings, cost avoidance, efficiency gains, and business value.

AI Agent Development and Automation

• Identify, design, prototype, test, and maintain AI agents, workflow automations, APIs, and data integrations for repeatable Cloud Business Office activities.
• Build agents that use approved enterprise data, defined policies, and decision logic to generate recommendations and escalate matters requiring human judgment.
• Apply human-in-the-loop controls; evaluate accuracy, cost, reliability, explainability, and business value; and document each agent’s purpose, data sources, logic, controls, ownership, performance, and lifecycle.

Cloud Governance and Business Office Operations

• Support practical cloud financial and operational guardrails, including tagging, ownership, budget accountability, lifecycle management, financial controls, and optimization expectations.
• Partner with Cloud Engineering, Architecture, Security, Risk, Finance, Procurement, and application teams to strengthen governance while minimizing unnecessary friction.
• Support intake, triage, governance, FinOps, portfolio management, and value-realization processes; identify process bottlenecks, control gaps, manual work, and unnecessary handoffs for simplification or automation.

Required Qualifications

• Bachelor’s degree or equivalent practical experience in finance, technology, engineering, analytics, or a related discipline.
• 1-3 years of overall related experience.
• Experience in cloud financial management, FinOps, cloud governance, cloud engineering, technology finance, or a related field, with working knowledge of Azure, AWS, or Google Cloud.
• Understanding of cloud pricing, consumption, commitments, billing, utilization, and operational datasets, with the ability to translate findings into business and technical recommendations.
• Experience with data analysis and visualization tools, such as Power BI, and with SQL, Python, PowerShell, APIs, workflow automation, low-code platforms, or comparable technologies.
• Hands-on experience applying generative AI, large language models, copilots, or agent frameworks, including prompts, tools, workflows, structured outputs, retrieval, orchestration, evaluation, and human-in-the-loop controls.
• Strong analytical and communication skills, with the ability to work effectively across financial, business, and highly technical stakeholders.

Preferred Qualifications

• FinOps certification or equivalent advanced FinOps experience, plus a cloud certification in Azure, AWS, or Google Cloud.
• Experience with enterprise FinOps platforms, financial modeling, forecasting, business cases, or value-realization models.
• Experience building enterprise-grade AI agents or AI-enabled workflows, including AI cost management and workload attribution.
• Experience with REST APIs, JSON, Git, CI/CD, data pipelines, cloud-native automation, or infrastructure as code such as Terraform.
• Experience in a Cloud Business Office, Cloud Center of Excellence, Cloud Value Office, Technology Business Management, or enterprise cloud governance organization.