Managing Consultant - AI Tokenomics

This job is with Capgemini, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

As an AI Tokenomics Managing Consultant, you will be responsible for leading the development, delivery and continual improvement of AI Tokenomics capabilities. They will help organisations understand, govern and optimise token-based AI consumption, connecting AI usage, cost, efficiency and business value across generative and agentic AI workloads.

AI Tokenomics is an emerging extension of Fin Ops focused on the economics of AI consumption, where tokens are treated as a key unit of AI computation, pricing and value measurement. The discipline supports better visibility, attribution, forecasting, optimisation and value realisation for AI services, working across technology, finance, product and business stakeholders.

The AI Tokenomics Managing Consultant will be client-facing, responsible for shaping engagements, leading work streams, developing operating models and supporting senior stakeholders to embed financial accountability into AI adoption

An example of the individual’s day-to-day responsibilities:

• Develop and implement AI Tokenomics and Fin Ops for AI strategies for internal and external clients.
• Lead AI cost management maturity assessments, discovery workshops and executive stakeholder sessions.
• Define governance models, operating models, roles, processes and reporting cadences for token-based AI consumption.
• Work with technology, finance, product, sourcing and business teams to align AI consumption with budgets, forecasts and value expectations.
• Develop AI spend visibility, allocation, forecasting and showback / chargeback approaches across teams, products, use cases and business outcomes.
• Support clients in identifying AI cost and value optimisation opportunities across model selection, usage patterns, prompt design, context management, caching, routing and agentic workflows.
• Provide guidance on emerging AI pricing models, token-based consumption, commitment models, vendor comparisons and commercial governance.
• Lead the creation of executive reporting on AI usage, token consumption, efficiency, adoption, risk and value realisation.
• Shape and contribute to proposals, statements of work, client presentations and leadership briefings.
• Develop reusable consulting assets, playbooks, maturity models, frameworks and accelerators to grow the AI Tokenomics practice.
• Coach and support AI Tokenomics Analysts and wider Fin Ops team members.
• Stay informed on emerging standards and guidance from the Fin Ops Foundation, Tokenomics Foundation, Linux Foundation and FOCUS community.

As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:

• Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
• Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
• Learning & development – Training to support your career development and the skills demand within the company, certifications etc.

You will have some of the following skils and attributes:

• Previous experience across Fin Ops, cloud economics, technology cost management, data/financial analysis, AI economics, technology consulting or a related field.
• Strong understanding of Fin Ops principles, cloud financial management and technology value management.
• Good understanding of generative…