Senior FinOps Analyst

ICF•Reston, VA

5d•Remote

About The Position

The Senior FinOps Analyst will provide specialized cloud financial management expertise supporting the Summit program, making cloud cost, utilization, and performance transparent and actionable across platform, data, AI/ML, and customer-facing workstreams. The role develops dashboards, forecasts, trend analyses, and optimization recommendations to help technical and product teams understand how cloud architecture and workload decisions affect cost. It partners with Product Operations, engineering, data, and technical leads to improve efficiency while balancing cost, utilization, and performance. The role supports a cloud-based enterprise data and analytics platform for a large federal agency. The platform provides data storage, analytics, governance, and AI/ML capabilities to thousands of users. The team is migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations adopt modern data and AI solutions at scale. This remote position has a strong preference for candidates residing in the Washington, DC Metro Area. Occasional onsite meetings at the client site in Washington, DC are expected. The position is contingent upon a contract award; interviews and offers are being made in anticipation of the award. Work must be performed in the United States. ICF monitors employee work locations, blocks access from foreign locations and foreign IP addresses, and prohibits personal VPN connections.

Requirements

U.S. citizenship is required due to federal contract requirements.
Must reside in the United States, be authorized to work in the United States, and perform all work in the United States.
Must have lived in the United States for three full years out of the last five years.
Bachelor's degree in Data Management, Information Systems, Data Governance, Business Analytics, Computer Science, Library/Information Science, or a related field; alternatively, a high school diploma plus four additional years of relevant experience may substitute for the bachelor's degree.
At least 6 years of relevant experience aligned with the role's responsibilities, including developing dashboards, reports, and analytics. A master's degree may substitute for two years of relevant experience.
Highly effective analytical, problem-solving, and decision-making capabilities.
Excellent written and verbal communication skills and ability to work with technical and non-technical audiences.
Strong organization, attention to detail, and ability to prioritize and manage multiple responsibilities.
Collaborative approach and commitment to quality, accountability, and continuous improvement.

Nice To Haves

Experience with FinOps, cloud financial management, forecasting, and cost optimization in Azure environments.
Experience analyzing and optimizing Databricks compute, workload utilization, and cost-performance.
Experience supporting enterprise data platforms, analytics, and AI/ML workloads in cloud environments.
Experience developing FinOps dashboards, cost and utilization trends, and executive reporting using Power BI or similar tools.
Ability to translate cloud consumption and technical usage into rightsizing, optimization, and cost-performance recommendations for technical and business stakeholders.
Familiarity with Azure cost management, monitoring, tagging, budgeting, and cloud governance practices.

Responsibilities

Develop and maintain FinOps dashboards and executive reporting on cloud spend, utilization, trends, and performance.
Analyze cloud consumption to identify cost optimization, rightsizing, and efficiency opportunities.
Develop cloud cost forecasts and compare actual spending with projected usage and demand.
Evaluate cost-performance tradeoffs associated with architecture, platform, data, and AI/ML decisions.
Analyze Azure and Databricks consumption and cost patterns to identify trends, anomalies, and optimization opportunities.
Partner with Product Operations and technical leads to make the cost impact of planned work visible before priorities and investments are committed.
Track and document cost savings, efficiency improvements, and optimization results after implementation.
Translate cloud cost and utilization data into actionable recommendations for technical teams and leadership.
Establish metrics and reporting that improve accountability and visibility around cloud consumption.
Support FinOps practices for cost allocation, forecasting, optimization, and cloud financial governance.
Identify unusual spending or utilization patterns and work with technical teams to determine root causes and corrective actions.