Cloud Financial Analyst – FinOps Engineer

Job Functions:

AI-Enabled Cost Optimization & Automation

• Create AI-assisted scripts (using Python, PowerShell, or Terraform) to identify unused resources, forecast consumption trends, and suggest optimization strategies.
• Integrate cost and usage data into enterprise analytics platforms (like Snowflake and Power BI), employing AI or machine learning models to improve accuracy and trend detection.
• Implement intelligent tagging compliance and anomaly detection to automatically highlight any deviations in spending patterns.
• Work alongside engineering and SRE teams to embed AI-driven insights into CI/CD pipelines and infrastructure lifecycle management.

Financial Analysis & Intelligent Reporting

• Design and maintain dashboards that present complex cost data through AI-driven insights, predictive models, and automated summaries.
• Utilize AI tools to summarize cost insights in formats suitable for leadership, emphasizing key trends, risks, and opportunities.
• Collaborate with the Finance team to develop AI-assisted forecasting and budget variance models tailored for multi-cloud environments.
• Enhance enterprise FinOps scorecards and monthly executive reports through automation and natural language summaries.

Governance & Collaboration

• Establish and uphold cloud tagging and cost allocation policies, leveraging AI for compliance monitoring and data quality enhancements.
• Cooperate across Finance, Procurement, and Cloud Operations to align cost optimization initiatives with organizational goals.
• Support modernization efforts by applying AI-driven analytics to assess total cost of ownership and ROI scenarios.
• Contribute to the FinOps maturity roadmap, integrating automation and AI capabilities to drive continuous improvement.

Experience and Qualifications:

• 4-7 years of experience in cloud engineering, FinOps, or infrastructure financial management.
• Previous roles may include Cloud Cost Engineer, FinOps Engineer, or Technology Finance Analyst.
• Demonstrated experience with cloud financial management and a comprehensive understanding of cloud billing and pricing models (AWS, Azure, GCP).
• Strong proficiency in scripting and automation (Python, PowerShell, Terraform, or similar).
• Working knowledge of AI and machine learning tools for data analysis or forecasting (such as Python ML libraries, Azure ML, AWS Forecast).
• Experience with data visualization tools like Power BI, Tableau, or Snowflake.
• Familiarity with FinOps Framework principles and best practices in cost governance.
• FinOps Certified Practitioner (FCP) certification preferred.
• Bachelor’s degree in Computer Science, Information Systems, Finance, or a related field.

Skills:

• Expertise in cloud financial management across various platforms.
• Ability to leverage AI and machine learning for effective cost forecasting and anomaly detection.
• Competency in scripting and automation with tools like Python, PowerShell, or Terraform.
• Data integration and analytics experience with Snowflake or Power BI.
• Financial modeling and forecasting utilizing statistical or AI-assisted tools.
• Proficiency in establishing governance and cost allocation policies.
• Strong analytical thinking and problem-solving capabilities.
• Ability to work collaboratively across functions.
• Skill in communicating complex data for executive insights.
• Strategic mindset connecting technology investments to business outcomes.
• A continuous improvement approach focused on automation.
• Adaptability and enthusiasm for emerging AI technologies.
• Influential in matrixed environments.

Must be authorized to work in the U.S. without sponsorship.