Principal AI FinOps & Tokenomics (Consumption Intelligence, Cost Governance & Value Realization)
Core
Own the enterprise AI financial operating model to ensure AI consumption is transparent, predictable, and tightly linked to business value.
Role type
Principal AI FinOps & Tokenomics Lead
Builds
Enterprise AI financial telemetry, unit economics models, vendor pricing abstraction layers, and executive value realization frameworks.
Domain
Semiconductor industry / AI Operations / Enterprise Finance
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
FinOps, FP&A, IT Finance, cost management, business analytics, consumption-based cost modeling, unit economics, cost modeling, vendor normalization, forecasting, benefits attribution, AI/LLM consumption constructs, vendor agreement negotiation, FinOps Foundation principles, FOCUS, TBM taxonomy
Preferred skills
FinOps Certified Practitioner, building FinOps/Cloud Economics/AI cost governance from scratch, managing high-scale AI cost governance, crafting internal pricing models (credit systems, token-bank), negotiating with hyperscalers, enterprise value realization programs
Technologies
FinOps Foundation, FOCUS, TBM taxonomy
Responsibilities
Define requirements for AI financial telemetry and maintain high-fidelity consumption data; Define role-based allocation policies and develop comparative cost models; Standardize vendor pricing constructs and act as financial lead in vendor negotiations; Co-own enterprise AI value realization frameworks and benefits taxonomy; Own the enterprise AI credit ledger and establish governance for credit issuance; Lead enterprise AI cost and value reporting for executive audiences; Partner with BU Finance to develop AI budgets and rolling forecasts; Serve as primary leader for AI financial governance across cross-functional teams
Seniority
Principal, hands-on IC with strategy & mentorship