Lead AWS FinOps Analyst

Responsibilities

Own AWS cloud spend analytics by delivering actionable visibility into cost drivers, trends, forecasts, and anomalies.

Lead AI for FinOps initiatives, including:

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

Influence enterprise-wide cloud financial strategy across a multi-million-dollar AWS 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, automated reporting, and decision support.

Help optimize AWS pricing strategies through Reserved Instances, Savings Plans, commitment management, and consumption optimization.

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 Amazon Web Services (AWS) in large-scale enterprise environments.
• Experience using AWS native cost management and billing services such as: AWS Cost Explorer, AWS Cost and Usage Reports (CUR), AWS Cost Optimization Hub.
• Advanced SQL skills with experience analyzing large cloud billing datasets.
• Experience building executive dashboards and analytics using Amazon QuickSight.
• Experience working with APIs, Python, SQL, infrastructure tooling, or workflow orchestration platforms.
• Strong analytical, conceptual thinking, communication, and problem-solving skills.
• Ability to communicate technical cloud concepts to engineering and business stakeholders.
• Curiosity, creativity, and willingness to challenge conventional thinking.
• Comfortable experimenting with new ideas and learning from failure to drive innovation.

Preferred Qualifications

• FinOps Certified Practitioner or equivalent FinOps certification.
• AWS Certified Cloud Practitioner, Solutions Architect, Data Analytics, or other AWS certifications.
• Experience with LLM/token-based pricing models (OpenAI, Claude, Bedrock APIs).
• Experience implementing policy-based controls, anomaly detection, and automated enforcement for AI cost management.
• Experience developing AI-enabled analytics or automation solutions.
• Familiarity with Amazon Bedrock, generative AI, prompt engineering, or AI governance concepts.
• Experience integrating AWS APIs and cloud automation frameworks.
• Knowledge of forecasting, statistical modeling, or anomaly detection techniques.
• Familiarity with Cloudability.

Pay

Potential starting salary range: $107,000 - $142,000.

Starting salary will be based on skills, background, and experience.

High end of the range limited to applicants with significant relevant experience.

Potential yearly incentive pay up to 15% of base salary.

Schedule

HYBRID: Qualified candidates must live within a 180-mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

HUB LOCATIONS: Bloomington, IL; Richardson, TX; Dunwoody, GA; Tempe, AZ.