FinOps Lead AI

Client Server Limited; Reigate; Hybrid; GBP 57,000 - 95,000; Full time

Benefits offered by this job

Health care

Life Assurance

Pension

Training & career development

25 days holiday

Job summary

Client Server Limited is seeking a FinOps Lead to maximise value from AI and GenAI investments while maintaining FinOps governance across cloud usage. You will optimise consumption, establish cost controls, and drive data-driven decisions with engineering, product and finance teams.

The role blends strategic leadership with hands-on cost management. The role offers a flexible hybrid model, with weekly in-office days in Reigate or Cambridge, and a focus on AI cost governance, unit economics, and

Qualifications

• Experience in AI/GenAI cost management including token-based consumption models.
• Practical FinOps or cloud financial management experience.
• Experience with token usage monitoring or metering tools.
• Familiar with performance optimization practices for AI/ML workloads.
• Knowledge of LLM/GenAI pricing structures and cloud cost tools.

Responsibilities

• Govern AI FinOps strategy, governance and value measurement.
• Analyse cloud and AI spend; improve cost allocation and accountability.
• Develop AI FinOps and token-economy frameworks with dashboards.
• Advise teams on best practices for model consumption and cost control.
• Collaborate with Engineering, Product and Finance on cost optimisation.
• Assess FinOps maturity and drive continuous improvement.
• Research Azure AI capabilities and new cost-management tools.

Skills

AI cost mgmt

Token consumption

FinOps

Token monitoring

Performance optimization

LLM pricing

Azure Cost Mgmt

Cost allocation

Forecasting

Data visualization

Stakeholder collaboration

Job description

Opportunity to progress your career in a hands-on FinOps leadership role at a global FinTech, enjoying flexible working and a range of benefits.

As a FinOps Lead your primary focus will be to maximise the business value of AI and GenAI investment through effective governance, consumption optimisation, unit economics and value measurement, while retaining FinOps responsibility across the wider cloud estate.

You'll act as the subject matter expert for AI and model consumption, advising teams on best practice. You'll analyse cloud and AI spend, improve cost allocation and accountability and establish governance, controls and standards across AI and cloud usage.

Collaborating with Engineering, Product and Finance, you'll identify opportunities to reduce consumption without compromising outcomes, using techniques such as prompt optimisation, context management, caching, model routing and batching. You'll also analyse LLMs and models across providers and pricing tiers to inform cost effective technology decisions.

You'll develop AI FinOps and Token Economics frameworks, alongside financial dashboards and reporting covering AI unit economics, token efficiency, forecasts and value-realisation metrics as well as budgeting, forecasting and variance analysis, maintaining an optimisation pipeline spanning AI consumption and traditional cloud levers such as rightsizing, reservations, storage and workload scheduling.

The role will also involve assessing FinOps maturity, researching new Azure and AI capabilities, developing training and documentation and working with stakeholders at all levels to drive continuous improvement.

Location / WFH:

There's a flexible work from home hybrid model, you'll join colleagues in the Reigate or Cambridge office once a week.

About you:

• You have experience in AI / ML or GenAI cost management, including token based consumption models, together with practical experience of FinOps or cloud financial management
• You have experience with token usage monitoring or metering toolsand are familiar with performance optimisation practices, such as instance rightsizing, workload optimisation and model inference efficiency
• You have a working knowledge of LLM / GenAI pricing structures across major providers (e.g. Azure OpenAI, Anthropic etc.)
• You have an understanding of Azure Cost Management, cost allocation and tagging, forecasting and budgeting and commitment based discount management
• You have experience of translating cloud and AI consumption data into accountable ownership, optimisation actions and measurable financial outcomes
• You have strong reporting, problem solving and analytical abilities
• You can translate complex data into clear, meaningful visual insights for technical and non-technical audiences
• You have advanced collaboration, communication and influencing skills

What's in it for you:

• Up to £95k salary plus bonus (c15%)
• Hybrid working (x1 day a week in Reigate or Cambridge)
• Enhanced parental leave
• 25 days holiday (plus buy days and your birthday off)
• Pension (up to 10% contribution)
• Health Care and Life Assurance
• Training and career development
• Social events and a range of other perks