AI FinOps Lead: AI Economics & Cloud Cost Optimisation

WeDoTech; Reigate; Hybrid; GBP 80,000 - 95,000; Full time

Job summary

WeDoTech is hiring an AI FinOps Lead to own the economics of AI across a large technology estate. You’ll partner with engineering, AI and business teams to measure consumption and maximise value.

Blending traditional FinOps with AI cost management and token economics, you’ll define metrics, dashboards and guidance for leadership to drive cost efficiency across AI and cloud workloads. You will report to senior leaders and influence roadmap decisions.

Qualifications

• Strong experience within 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 how LLM/GenAI pricing and consumption works, including input/output tokens, caching and different model/provider pricing structures.
• Experience analysing cloud consumption and turning data into tangible optimisation actions and financial outcomes.
• Experience working within a complex cloud environment. Azure is preferred, although experience across other major cloud platforms will be considered.
• Understanding of traditional FinOps practices including cost allocation, tagging, forecasting, budgeting and cloud optimisation.
• Strong analytical and reporting capability, with experience using Power BI or similar tooling.
• The confidence to work directly with engineering leaders, technical teams and senior stakeholders, constructively challenging existing approaches where required.
• The ability to take ownership of a developing capability rather than simply operate within an established process.

Responsibilities

• Take ownership of AI economics and FinOps activity across a complex technology environment.
• Analyse AI, token and cloud consumption to understand where money is being spent and the value being generated.
• Work directly with engineering and technology teams to investigate unusual consumption patterns and identify opportunities to improve efficiency.
• Help teams optimise AI usage through areas such as model selection, prompt optimisation, caching, context management and model routing.
• Develop meaningful metrics around AI unit economics, token efficiency and value realisation.
• Support ongoing forecasting and budgeting, identifying potential overspend early and helping teams take action.
• Compare AI models, providers and usage patterns to support better technology and commercial decisions.
• Improve cost allocation, accountability, tagging, showback and chargeback across AI and cloud consumption.
• Continue to 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.
• Become a thought leader for AI economics and FinOps, helping educate teams and establish best practice as the capability develops.

Skills

FinOps experience

AI/GenAI cost mgmt

LLM pricing knowledge

Cloud cost analysis

Azure exposure

FinOps practices

Power BI analysis

Stakeholder engagement

Ownership mindset

Tools

Power BI

Job description

WeDoTech is hiring an AI FinOps Lead to own the economics of AI across a large technology estate. You’ll partner with engineering, AI and business teams to measure consumption and maximise value.

Blending traditional FinOps with AI cost management and token economics, you’ll define metrics, dashboards and guidance for leadership to drive cost efficiency across AI and cloud workloads. You will report to senior leaders and influence roadmap decisions.