Senior FinOps Consultant

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

Senior Cloud FinOps SME responsible for driving cloud financial management, cost optimization, governance, forecasting, allocation, and executive reporting across Azure-led multi-cloud environments. The role requires deep Microsoft Azure expertise, working knowledge of GCP, and hands-on experience with Apptio Cloudability.

Key Responsibilities

• Lead Azure and GCP cloud cost analysis, optimization, budgeting, forecasting, variance management, and financial governance.
• Manage Azure Reservations, Savings Plans, Azure Hybrid Benefit, budgets, cost analysis, exports, and Azure Advisor recommendations.
• Support GCP billing analysis, budgets, committed use discounts, labels, resource utilization, and optimization.
• Develop showback/chargeback models, tagging standards, allocation rules, unit-cost metrics, dashboards, and executive reports.
• Identify idle, orphaned, oversized, and underutilized resources; quantify savings and track remediation through realization.
• Partner with engineering, architecture, operations, finance, procurement, and business teams to drive cost accountability.
• Provide cost models, TCO, ROI, and scenario analysis for cloud migration, modernization, and architecture decisions.

Required Skills

• 10+ years of IT experience, including 7+ years in Cloud FinOps, cloud economics, or cloud financial management.
• Deep expertise in Microsoft Azure Cost Management and Billing, Cost Analysis, budgets, exports, Reservations, Savings Plans, Azure Hybrid Benefit, and Azure Advisor.
• Hands-on expertise with Apptio Cloudability, including cost allocation, reporting, optimization insights, budgeting/forecasting, dashboards, and business-unit views.
• Good working knowledge of GCP Cloud Billing, budgets, committed use discounts, labels, reporting, and resource optimization.
• Strong knowledge of the FinOps Framework, cloud cost allocation, showback/chargeback, unit economics, rate optimization, governance, and anomaly management.
• Advanced analytical and reporting skills using Power BI, Excel, SQL, APIs, or equivalent tools.
• Strong stakeholder management and executive communication skills, with the ability to convert technical and financial data into actionable recommendations.

Preferred Qualifications

• FinOps Certified Practitioner/Professional or equivalent certification.
• Microsoft Azure Administrator or Azure Solutions Architect certification; GCP certification is an advantage.
• Experience supporting enterprise-scale cloud migration, modernization, or multi-cloud governance programs.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.