Senior Cloud FinOps Leader: Azure & GCP Cost Optimization

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Senior Cloud FinOps SME to lead cloud financial management across Azure-led multi-cloud environments. You will drive cost optimization, governance, forecasting, allocation, and executive reporting with deep Azure expertise and hands-on GCP knowledge.

Responsibilities include budgeting, reservations, savings plans, cost analyses, and building showback models. Strong stakeholder communication and leadership are essential for guiding cost

Qualifications

• 10+ years IT experience with 7+ years in Cloud FinOps, cloud economics, or cloud financial management.
• Deep expertise in Azure Cost Management, Budgeting, Reports, Reservations, Savings Plans, and Advisor.
• Hands-on experience with Apptio Cloudability for cost allocation, budgeting, and dashboards.
• Strong knowledge of GCP Cloud Billing, budgets, labels, reporting, and optimization.
• Proficient in FinOps framework, showback/chargeback, unit economics, and governance.
• Advanced analytical and reporting skills using Power BI, Excel, SQL, and APIs.
• Excellent stakeholder management and executive communication; translate data into action.

Responsibilities

• Lead Azure and GCP cloud cost analysis, optimization, budgeting, forecasting, and governance.
• Manage Azure Reservations, Savings Plans, Hybrid Benefit, budgets, exports, and Advisor recommendations.
• Support GCP billing analysis, budgets, committed use discounts, labels, and resource optimization.
• Develop showback/chargeback models, tagging standards, allocation rules, and dashboards.
• Identify idle, orphaned, oversized, and underutilized resources; quantify savings and remediation.
• Partner with engineering, architecture, operations, finance, procurement, and business teams.
• Provide cost models, TCO, ROI, and scenario analysis for cloud migration and modernization.
• Convey insights to executives and stakeholders with clear, actionable recommendations.

Skills

Cloud FinOps

Azure Cost Mgmt

Azure Advisor

Apptio Cloudability

GCP Cloud Billing

FinOps Framework

Power BI

Excel

SQL

Executive reporting

Stakeholder mgmt

Tools

Apptio Cloudability

Power BI

SQL

Excel

APIs

Job description

Machine Learning Technologies, LLC is seeking a Senior Cloud FinOps SME to lead cloud financial management across Azure-led multi-cloud environments. You will drive cost optimization, governance, forecasting, allocation, and executive reporting with deep Azure expertise and hands-on GCP knowledge.

Responsibilities include budgeting, reservations, savings plans, cost analyses, and building showback models. Strong stakeholder communication and leadership are essential for guiding cost