Azure FinOps Lead: AI-Powered Cloud Cost Optimization

FinOps Weekly; Tempe, Northern (AZ, KY); Hybrid; USD 107,000 - 142,000; Full time

Benefits offered by this job

Health coverage

Annual raise

401(k) matching

Tuition assistance

Job summary

FinOps Weekly is seeking a hybrid Lead Azure FinOps Analyst to turn cloud spend data into clear insights that drive cost efficiency and forecasting. You will collaborate with Engineering, Security, Finance, and Architecture to optimize commitments, discounts, and consumption patterns across a large Azure environment.

The role emphasizes AI-enabled FinOps, dashboards, KPI tracking, and executive reporting to reduce waste and improve spend visibility for multi‑digit spend levels.

Qualifications

• Experience with large Azure deployments in enterprise environments.
• Strong understanding of FinOps and cloud cost optimization strategies.
• Experience using Azure cost management, billing, and governance features.
• Deep knowledge of Azure cost drivers: compute, storage, networking, reservations.
• Advanced SQL for analyzing large datasets and trends.
• Experience creating dashboards in Power BI.
• Experience with APIs, scripting, or automation tools.

Responsibilities

• Analyze Azure spend to identify cost drivers, trends, forecasts, and anomalies.
• Lead AI-enabled FinOps initiatives, including anomaly detection and reporting.
• Partner with cloud teams to optimize commitments, reservations, and consumption.
• Identify idle, orphaned, overprovisioned, and misconfigured resources.
• Build executive dashboards, forecasting models, and KPIs.
• Translate cloud usage into financial insights for leaders.
• Support a culture of cost accountability and ongoing optimization.

Skills

Azure in large-scale enterprise

Azure cost management

FinOps principles

Azure cost drivers

SQL

Power BI

Python

APIs & automation

Analytics

Communication

Tools

Power BI

APIs

Python

SQL

Job description

FinOps Weekly is seeking a hybrid Lead Azure FinOps Analyst to turn cloud spend data into clear insights that drive cost efficiency and forecasting. You will collaborate with Engineering, Security, Finance, and Architecture to optimize commitments, discounts, and consumption patterns across a large Azure environment.

The role emphasizes AI-enabled FinOps, dashboards, KPI tracking, and executive reporting to reduce waste and improve spend visibility for multi‑digit spend levels.