Lead Azure FinOps Analyst

Responsibilities

Influence enterprise-wide cloud financial strategy across a multi-million-dollar Azure environment.

Partner directly with senior leaders across Engineering, Information Security, Finance, Architecture, and Cloud Platform organizations.

Drive next-generation AI for FinOps capabilities including:

• Intelligent anomaly detection
• Optimization recommendations
• Natural-language insights
• Executive reporting automation
• Decision-support solutions

Help optimize Azure commitments, reservation strategies, savings opportunities, and consumption alignment.

Identify infrastructure waste—including idle, orphaned, overprovisioned, and misconfigured resources—and quantify business value from optimization opportunities.

Design intelligent automation that safely eliminates cloud waste and improves operational efficiency.

See the measurable impact of your work by helping manage and optimize over nine figures of annual cloud spend.

Be part of a highly collaborative, innovative team that encourages experimentation, continuous learning, and new ideas.

Qualifications

Strong experience working with Microsoft Azure in large-scale enterprise environments.

Experience using Azure native cost management, billing, and governance capabilities.

Understanding of FinOps principles and cloud cost optimization strategies.

Strong knowledge of Azure cost drivers including:

• Compute
• Storage
• Networking
• Commitments and reservations
• Utilization patterns

Experience developing dashboards and reports using Power BI.

Experience working with APIs, scripting, or automation technologies such as Python, SQL, infrastructure tooling, or workflow orchestration platforms.

Strong analytical, conceptual thinking, communication, and problem-solving skills.

Ability to communicate technical concepts to both engineering and business audiences.

Curiosity, creativity, and a willingness to challenge conventional thinking.

Comfortable experimenting with new ideas and learning from failure to drive innovation.

Preferred Qualifications

FinOps Certified Practitioner/Engineer/AI Value

Microsoft Azure cloud certifications.

Experience developing AI-enabled analytics or automation solutions.

Familiarity with large language models (LLMs), AI platforms, prompt engineering, or AI governance concepts.

Experience working with cloud APIs and automation frameworks.

Knowledge of forecasting, statistical modeling, or anomaly detection techniques.

Experience supporting executive reporting and strategic decision making.