Roles & responsibilities
Drive cloud financial management across Azure, including spend analysis,
budgeting, forecasting, anomaly detection, and optimization.
Analyze cloud billing, utilization, and operational data to identify cost-saving
opportunities and improve financial accountability.
Develop FinOps dashboards, reports, and KPIs for spend, savings, unit economics,
and optimization tracking.
Automate cloud cost analysis and reporting using Python, KQL, Azure Logic Apps,
and data engineering solutions.
Build forecasting models and predictive analytics to estimate future cloud and
AI workload costs.
Partner with CloudOps, architects, engineering teams, and business stakeholders
to implement cost-productive cloud solutions.
Manage and monitor AI/GenAI costs, including token consumption, model
utilization, AI chargeback/showback, and AI cost governance.
Leverage AI and automation to generate optimization recommendations, improve
reporting, and accelerate savings realization.
Support development of scalable FinOps platforms and self-service capabilities
for cloud and AI cost management.

📌 / Sr. Engg - GTS BMS (Bengaluru)
🏢 KPMG Global Services
📍 Bengaluru