Fin Ops Analyst

At FNBO, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.

Summary of the Job:

The Fin Ops Analyst will establish and operate a comprehensive Cloud and SaaS Financial Management practice within FNBO's Technology organization. This role sits at the intersection of cloud engineering, financial operations, data analytics, and governance, ensuring that technology consumption is cost-efficient, transparent, and aligned to business priorities. This position will partner closely with Cloud Engineering, Architecture, Finance, Procurement, IT Business Management, and application teams to drive financial accountability across FNBO's cloud and consumption-based technology platforms.

This role will focus primarily on Amazon Web Services (AWS) as FNBO's primary cloud platform, while also managing cost optimization and forecasting for consumption-based SaaS platforms including Snowflake, Dynatrace, and emerging AI/ML services. As FNBO scales its AI capabilities and agentic workflows, this position will play a critical role in establishing governance and cost management practices for AI token usage and forecasting.

About This Role:

Fin Ops Strategy & Operating Model Establish and mature the Fin Ops operating model spanning AWS cloud infrastructure (IaaS, PaaS) and enterprise SaaS platforms

Implement and maintain cost governance standards, policies, dashboards, and operating procedures across cloud and consumption-based services

Partner with Cloud Engineering, Architecture, and application teams to incorporate cost considerations into design, migration, and modernization decisions

Drive continuous improvement and standardization of Fin Ops practices aligned to the Fin Ops Foundation framework (Inform, Optimize, Operate)
Develop and maintain Fin Ops playbooks and best practices documentation

Cloud & SaaS Cost Optimization & Controls Execute and track cost optimization initiatives across AWS, including right-sizing, Reserved Instances, Savings Plans, capacity planning, and service tier selection

Govern SaaS spend optimization for platforms such as Snowflake, Dynatrace, and other consumption-based vendors

Analyze usage patterns and identify opportunities to improve cost efficiency without degrading capability or performance

Define and enforce tagging and metadata standards to support cost allocation, chargeback/show back, and financial accountability

Monitor cloud and SaaS commitments, track utilization, and recommend adjustments to maximize savings

Identify and remediate cost anomalies, waste, and inefficiencies through proactive monitoring and alerting AI Cost Management & Forecasting Establish cost transparency and governance for AI and machine learning workloads, including model training, inference, and third-party AI platform usage

Develop and maintain AI token usage tracking, forecasting models, and cost attribution across teams and use cases

Partner with data science, engineering, and platform teams to understand AI workload cost drivers and identify efficiency opportunities

Support the measurement of annualized efficiency gains from AI adoption as part of FNBO's AI & Data strategic goals

Financial Planning, Forecasting & Reporting Establish and manage cloud, SaaS, and AI spend forecasting by analyzing usage trends, growth patterns, and business initiatives

Provide executive-level reporting on technology consumption spend, trends, savings realized, and optimization opportunities

Translate usage and consumption data into financial insights for Technology and Finance leadership

Support monthly, quarterly, and annual budget planning and variance analysis

Develop and maintain dashboards,…