Leads AI/GenAI cost governance and FinOps across cloud and AI spend to maximize value from AI investments. Partners with Engineering, Product and Finance to implement governance, cost allocation and budgeting while optimising token-based consumption and model economics. Develop AI FinOps frameworks, dashboards and standards, driving cost efficiency without compromising outcomes. Works across providers and AI capabilities to support scalable, responsible AI adoption.
Pay / Benefits
up to 95k salary + bonus
Hybrid working
Enhanced parental leave
25 days holiday
Pension (up to 10%)
Health care and life assurance gear-upments? partially? wait for confirmation
Responsibilities
Govern AI/GenAI cost governance and value measurement across cloud and AI spend
Analyse cloud and AI spend; improve cost allocation and accountability
Establish governance, controls and standards for AI and cloud usage
Collaborate with Engineering, Product and Finance to identify cost-saving opportunities
Drive consumption reduction via prompt optimisation, context management, caching, routing and batching
Evaluate LLM/model pricing across providers to inform technology decisions
Develop AI FinOps and Token Economics frameworks and related dashboards/Reporting
Oversee budgeting, forecasting, variance analysis and forecasting for AI and cloud levers
Maintain optimisation pipeline spanning AI consumption and traditional cloud levers (rightsizing, reservations, storage, scheduling)
Assess FinOps maturity and research Azure and AI capabilities; create training and documentation
Engage with stakeholders to drive continuous improvement
Key requirements
Experience in AI/ML or GenAI cost management
Experience with FinOps or cloud financial management
Token usage monitoring or metering tools familiarity
Performance optimisation practices (rightsizing, workload optimisation, model inference efficiency)
Knowledge of LLM/GenAI pricing structures across major providers (Azure OpenAI, Anthropic, etc.)
Understanding of Azure Cost Management, cost allocation, tagging, forecasting and budgeting
Ability to translate consumption data into accountable ownership and measurable financial outcomes
Strong reporting, problem solving and analytical abilities
Ability to translate complex data into clear visual insights for technical and non-technical audiences
Advanced collaboration, communication and influencing skills
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