About the Role
This position is listed on behalf of a partner company. The partner is seeking a Cloud Cost Governance Lead with a specialization in Multi-Cloud FinOps. This role is based in Saudi Arabia's Eastern Region and requires full ownership of cloud financial operations across a complex multi-cloud environment. The objective is to ensure comprehensive visibility, control, and optimization of all cloud spending. The role operates at the intersection of engineering, finance, and cloud architecture, serving as the authority on cost governance decisions.
The successful candidate will drive accountability across Azure, AWS, and GCP environments, transforming billing data into actionable financial insights. This position demands strong analytical depth and hands-on experience managing large-scale cloud billing ecosystems. The primary focus will be on identifying inefficiencies, anomalies, and optimization opportunities across global cloud workloads. Collaboration with technical and business stakeholders will be key to influencing cost-aware engineering decisions and fostering financial discipline, thereby shaping cloud efficiency, forecasting accuracy, and overall financial performance.
Key Responsibilities
- Own end-to-end cloud cost visibility across Azure, AWS, and GCP, establishing a single source of truth for all cloud spending and classifications.
- Monitor daily cost activity and anomalies using native cloud tools, implementing alerts across tenants, accounts, and workloads.
- Lead root cause analysis for cost incidents, partnering with engineering, finance, and cloud providers to resolve issues and quantify their financial impact.
- Ensure alignment between provisioning systems and actual billing data, effectively closing gaps between platform actions and cloud charges.
- Build and maintain robust cost data pipelines and reporting systems utilizing tools such as Power BI, SQL, BigQuery, and cloud billing exports.
- Identify and drive opportunities for refund or credit recovery with cloud providers.
- Lead forecasting, budgeting, and optimization initiatives, including rightsizing, commitment-based savings, and overall spend governance.
Qualifications and Experience
- A minimum of 8 years of experience in cloud or infrastructure environments with significant exposure to FinOps or cloud cost governance.
- At least 5 years of hands-on Azure cost management experience at scale, including familiarity with multi-tenant environments, CSP/EA/MCA models, Partner Center, and reservation management.
- A minimum of 3 years of AWS cost governance experience, utilizing tools like Cost Explorer, CUR, Organizations, Budgets, anomaly detection, and Savings Plans or Reserved Instances.
- Working proficiency in GCP billing, including experience with BigQuery exports, budgeting, and committed-use discount management.
- Strong experience in building and maintaining cost reporting pipelines and dashboards using Power BI, SQL, or BigQuery.
- A deep analytical mindset with the proven ability to interpret complex billing data and communicate insights clearly to both technical and business stakeholders.
- A strong sense of ownership and the capability to operate effectively in a fully hands-on, data-driven environment.
- Demonstrated ability to collaborate effectively across engineering, finance, and cloud provider ecosystems within high-scale environments.
Required Skills
- Cloud Cost Governance
- FinOps
- Azure Cost Management
- AWS Cost Governance
- GCP Billing
- Cost Optimization
- Cost Visibility
- Cost Data Pipelines
- Reporting Systems
- Power BI
- SQL
- BigQuery
- Cloud Billing Exports
- Refund and Credit Recovery
- Forecasting and Budgeting
- Rightsizing
- Commitment-based Savings
- Spend Governance
- Analytical Mindset
- Data Interpretation
- Stakeholder Management
- Ownership
- Hands-on Operation
- Data-driven Environment
- Collaboration with Engineering and Finance Teams
- Cloud Architecture Principles
Work Arrangement and Environment
This is a full-time position. The role offers flexible working arrangements and is considered remote. It provides an opportunity to work across large-scale, multi-cloud enterprise environments. The position is high-impact, with direct ownership of cloud financial strategy and optimization. The work environment is collaborative, with cross-functional exposure to engineering and finance teams.
Jobgether utilizes an AI-powered matching process for initial candidate review. The system identifies top-fitting candidates, and this shortlist is shared with the hiring company, who manages the final decision and subsequent steps, including interviews and assessments. By submitting an application, candidates acknowledge that Jobgether will process their personal data to evaluate candidacy and share relevant information with the hiring employer. Artificial intelligence tools may support parts of the hiring process, but final hiring decisions are made by humans.