HEHelius Technologies Pte Ltd
Azure Cloud Financial Management
Singapore ₹7K-11K LPA Posted 19 Oct 2026
FULL TIME
it financial management
Job Description
Hello,
Position Title: Azure Cloud FinOps Specialist (Functional Role)
Experience Required: Over 4 years
Location: Singapore
Contract Term: 12 months, with potential extension based on project needs
Work Arrangement: On-site (Work From Office)
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About the Opportunity:
We are seeking a Functional Cloud FinOps Lead to spearhead the development and implementation of Azure Financial Governance and Cost Optimization strategies in Singapore. This role requires a candidate with a robust Functional / IT Financial Management / Cloud Governance expertise who possesses a comprehensive understanding of technology expenditure, commercial models, budgeting processes, and stakeholder engagement.
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Primary Responsibilities
- FinOps Governance & Cost Allocation: Develop Azure FinOps frameworks, establish cost allocation policies, define tagging standards, and implement showback/chargeback models across various business units.
- Cost Optimization & Business Value: Leverage Microsoft Cost Management and Azure Advisor to uncover cost-saving opportunities, utilizing Savings Plans, Reserved Instances (RIs), and Azure Hybrid Benefit.
- Financial Planning & Analysis (FP&A): Lead monthly variance analyses comparing budgets versus actuals, conduct consumption forecasting, and develop financial models for cloud migration initiatives.
- Stakeholder Collaboration: Serve as the liaison between Cloud Engineering, Finance, Procurement, and Business stakeholders to promote cost accountability and transparency.
Qualifications & Skills
- Functional / Business Experience: Minimum of 5+ years in IT Financial Management, IT Governance, Cloud Business Analysis, or Technology FP&A.
- Azure FinOps Proficiency: At least 2+ years of practical experience with Azure Cost Management, Azure billing structures, and cost optimization strategies.
- Financial & Data Analysis Skills: Advanced proficiency in Excel / Financial Modeling for analyzing extensive cloud billing data sets.
