Capgemini Invent is a leading transformation consulting firm that blends strategy, creativity and science to deliver cutting‑edge solutions.
Your Role
As an AI Tokenomics Managing Consultant you will lead the development, delivery and continual improvement of AI Tokenomics capabilities, helping organisations understand, govern and optimise token‑based AI consumption, connecting usage, cost, efficiency and business value across generative and agentic AI workloads.
AI Tokenomics is an emerging extension of FinOps that focuses on the economics of AI consumption, treating tokens as a key unit of AI computation, pricing and value measurement. The role is client‑facing; you will shape engagements, lead workstreams, develop operating models, and support senior stakeholders to embed financial accountability into AI adoption.
Day‑to‑Day Responsibilities
- Develop and implement AI Tokenomics and FinOps 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 show‑back/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 practice.
- Coach and support AI Tokenomics Analysts and wider FinOps team members.
- Stay informed on emerging standards and guidance from the FinOps Foundation, Tokenomics Foundation, Linux Foundation and the FOCUS community.
Additional Contributions
- Business Development – Lead/ contribute to proposals, RFPs, bids, client pitches, hosting at events.
- Internal Contribution – Campaign development, think‑tanks, whitepapers, practice operations, recruitment, team events and offering development.
- Learning & Development – Training and certifications to support career development and skill demands.
Your Profile
- Previous experience in FinOps, cloud economics, technology cost management, data/financial analysis, AI economics, technology consulting or a related field.
- Strong understanding of FinOps principles, cloud financial management and technology value management.
- Good understanding of generative AI, large language models and token‑based AI cost drivers.
- Experience leading client‑facing workshops, maturity assessments, operating model design or transformation workstreams.
- Ability to engage and influence senior stakeholders across technology, finance, sourcing, product and business teams.
- Strong analytical skills with the ability to translate complex usage and cost data into clear business insight.
- Excellent presentation‑building, documentation, facilitation and communication skills.
- FinOps Certified Practitioner.
- Experience with reporting, dashboarding or analytical tools such as Power BI, Excel, Apptio, Cloudability, Datadog, Looker or equivalent.
- FinOps for AI Certified Practitioner preferred.
- FinOps Certified Professional and Certified FOCUS Analyst preferred.
- Cloud certification in AWS, Azure or Google Cloud desirable.
Preferred Qualifications
- Experience developing or scaling a FinOps, AI economics or technology value management capability.
- Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks or Snowflake.
- Understanding of AI cost drivers including input/output tokens, embeddings, context windows, model routing, retries, caching and agent orchestration.
- Experience supporting AI vendor assessments, pricing analysis, commercial models or sourcing negotiations.
- Experience developing consulting offers, reusable assets, sales materials or thought leadership.
- Familiarity with FOCUS, cloud billing data models, cost allocation, tagging, budgeting, forecasting, anomaly management and optimisation.
What You’ll Love About Working Here
- Client engagements that offer exposure to leadership and management teams with opportunities to learn, challenge and accelerate hands‑on experience.
- Opportunity to write compelling client propositions, structure, lead transformation, and explore emerging technologies from concept to execution.
- Formal training from industry experts on management consulting and client delivery.
- Extensive learning and certification opportunities from AWS, Google and Microsoft.
- Leads by example: monthly showcases, team drinks and leadership connect sessions promote community and knowledge sharing.
Need to Know
We champion inclusion, work‑life balance and hybrid working. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is supported through mental health champions and wellbeing apps.
CSR
We employ technology to make a positive social impact, reducing our carbon footprint and improving digital access. Capgemini was named among the world’s most ethical companies by the Ethisphere Institute consistently for ten years.
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