FinOps Specialist

What you’ll do

• Optimize cloud financial operations to maximize value from cloud investments, including rapidly growing artificial intelligence (AI) and machine learning workloads
• Provide actionable insights on cloud spend, SaaS license optimization, and emerging AI cost drivers, including model inference and usage-based consumption
• Implement tooling, tagging standards, and processes that improve cost visibility and optimization across cloud, SaaS, and AI workloads
• Monitor large language model API consumption and GPU-intensive infrastructure to identify cost trends, anomalies, and optimization opportunities
• Build financial models to forecast cloud, SaaS, and AI expenditures for budgeting cycles, commitment decisions, and vendor negotiations
• Design cost allocation, tagging, showback, and chargeback models that attribute spend to the teams, applications, and use cases driving it
• Educate engineering and business owners on cloud financial management practices that build cost-conscious habits around resource and license consumption
• Partner across the firm’s technology, finance, and procurement teams to align cloud and technology cost strategies with business objectives and firmwide planning

What’s Required

• 7+ years of relevant experience in financial management, cloud operations, or technology cost management, including at least three years of hands-on FinOps experience
• Bachelor’s degree in finance, computer science, information technology, or a related field
• Strong understanding of cloud platforms, such as AWS, Google Cloud, or Azure, and their cost structures
• Familiarity with cost structures for artificial intelligence and machine learning services, including GPU instances, managed AI platforms, and large language model API usage
• Proficiency in financial analysis and modeling for forecasting, budgeting, commitment decisions, and vendor negotiations
• Strong data analysis skills, including querying and manipulating large datasets and building clear visualizations for stakeholder decision-making
• Excellent analytical and problem-solving skills for identifying cost drivers, trends, and optimization opportunities
• Strong communication and interpersonal skills, with the ability to work independently and collaboratively in a fast-paced environment
• Commitment to the highest ethical standards