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# Cloud FinOps Engagement Manager

- **Company:** Codeforce 360
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Technology Consulting, Machine Learning, Google Cloud, Machine Learning Operations, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/95b55f18-25c8-4e85-a76a-667dbdc5628b

## About the Role

About the Job- We are looking for an experienced Cloud FinOps Engagement Manager to join one of our enterprise client engagements. The ideal candidate should have strong expertise in Cloud FinOps, AI/ML, AWS, Microsoft Azure, Google Cloud along with experience working in fast-paced enterprise environments., * The ideal candidate will combine strong client-facing and program management skills with a solid understanding of Cloud FinOps, AI/ML workloads, cloud economics, and technology transformation., * 5+ years of experience in IT consulting, technology transformation, cloud management, FinOps, or program/engagement management.

 * Strong experience managing enterprise client engagements and senior stakeholders.
 * Hands-on understanding of Cloud FinOps principles and practices.
 * Experience with one or more major cloud platforms: AWS, Microsoft Azure, or Google Cloud.
 * Strong understanding of cloud pricing models, cost allocation, budgeting, forecasting, and optimization.
 * Knowledge of AI/ML infrastructure economics, including GPU workloads, model serving/inference, data pipelines, and storage costs.
 * Excellent analytical, problem-solving, and financial modeling skills.
 * Experience translating technical cloud concepts into business and financial outcomes.
 * Strong communication, presentation, negotiation, and stakeholder-management skills.
 * Demonstrated ability to lead distributed, cross-functional teams.

## Description

* You will work closely with business, finance, engineering, and cloud teams to help organizations optimize cloud spend while maximizing business value from AI and cloud investments.


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