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Enterprise Cloud FinOps Lead

Llnl·Worldwide·Livermore, US·senior
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Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have an opening for an Enterprise Cloud FinOps Lead to join the Computing organization within the Chief Information Office, part of the Director’s Office. As the Enterprise Cloud FinOps Lead, you will ensure the overall success of the Enterprise Cloud FinOps implementation, including the development and adoption of technical tooling, automation, and governance capabilities. This position is in the Information Technology Solutions (ITS) Division within the Computing Directorate, in support of LivIT. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home 1 day per week. You will Partner with finance, engineering, cloud operations, and leadership across a multidisciplinary environment to design, develop, implement, and support technical Cloud FinOps solutions and services for enterprise cloud financial management and governance. Lead the development and continuous improvement of Cloud FinOps tools, automation, policies, standards, governance processes, and operating models that promote transparent, accountable, and efficient cloud usage. Translate business, financial, and operational requirements into technical architectures, data models, workflows, and scalable system designs for Cloud FinOps capabilities. Design, develop, and enhance cloud financial reporting, dashboards, forecasting, and allocation models; lead analysis of billing data,