AI FinOps Lead

Salary: £80,000 - 95,000 per year

Requirements:

• Strong experience in FinOps, cloud financial management, or a closely related discipline.
• Practical exposure to AI/ML or GenAI cost management and an understanding of token-based consumption.
• Knowledge of LLM/GenAI pricing and consumption, including input/output tokens, caching, and different model and provider pricing structures.
• Experience analysing cloud consumption and turning data into tangible optimisation actions and financial outcomes.
• Experience working in a complex cloud environment; Azure is preferred, though experience with other major cloud platforms is also considered.
• Understanding of traditional FinOps practices, including cost allocation, tagging, forecasting, budgeting, and cloud optimisation.
• Strong analytical and reporting capabilities, with experience using Power BI or similar tools.
• Confidence working directly with engineering leaders, technical teams, and senior stakeholders, and constructively challenging existing approaches when needed.
• Ability to take ownership of a developing capability rather than simply operate within an established process.

Responsibilities:

• Own AI economics and FinOps activity across a complex technology environment.
• Analyse AI, token, and cloud consumption to understand spending and the value being generated.
• Work with engineering and technology teams to investigate unusual consumption patterns and identify efficiency improvements.
• Help teams optimise AI usage through model selection, prompt optimisation, caching, context management, and model routing.
• Develop meaningful metrics for AI unit economics, token efficiency, and value realisation.
• Support forecasting and budgeting, identify potential overspend early, and help teams take action.
• Compare AI models, providers, and usage patterns to support technology and commercial decisions.
• Improve cost allocation, accountability, tagging, showback, and chargeback across AI and cloud consumption.
• Drive traditional FinOps optimisation, including rightsizing, commitment utilisation, storage, scaling, and workload optimisation.
• Build reporting and dashboards that translate complex consumption data into clear insights for technical teams and senior leadership.
• Educate teams, establish best practices, and help develop the organisations AI economics and FinOps capability.

Technologies:

• AI
• Azure
• Cloud
• Support
• LLM
• Power BI

More:

Were hiring an AI Economics & FinOps Lead for a permanent role in Croydon, ideally with two days per week in the office, with some flexibility for the right candidate. The salary is £80,000–£95,000 plus a 15% bonus. As AI investment accelerates across our large, complex organisation, youll help shape how we manage, measure, and maximise its value while continuing to drive optimisation across our wider cloud estate. The role combines established cloud FinOps with emerging AI cost management and token economics, and offers visibility with senior stakeholders. Youll have the opportunity to develop the frameworks, reporting, governance, and best practices for managing enterprise AI investment, and to build your expertise and influence at the intersection of FinOps, cloud, and AI.

last updated 40 week of 2026