Principle AI FinOps & Tokenomics; Consumption Intelligence, Cost Governance & Value Realization

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As the Principal AI Fin Ops & Tokenomics lead for Micron’s Enable

AI initiative, you will own the enterprise AI financial operating model—ensuring AI consumption is transparent, predictable, and tightly linked to business value.

Embedded within the AI Operations Center of Excellence, you will partner closely with Finance, Procurement, TBMO, and business divisions to scale AI adoption with strong financial discipline.

You will serve as the enterprise authority on AI cost and value governance, redefining raw consumption signals into normalized financial intelligence and executive insights that inform decisions across the CIO, CFO, CISO, and BU leadership.

Your mission: enable aggressive AI scaling while ensuring every dollar spent is governed, forecasted, and tied to measurable outcomes.

• Consumption Intelligence & Financial Reconciliation:
  Define requirements for AI financial telemetry (tokens, GPU, inference, requests, seats) to ensure accurate, reconcilable usage tracking. Partner with AI Operations to maintain high-fidelity consumption data aligned to financial outcomes. Own and evolve enterprise unit economics models, translating usage into clear financial narratives.
• Allocation Policy & Cost Modeling:
  Define role-based allocation policies, mapping personas, workloads, and value tiers to model access, token budgets, and entitlements. Develop comparative cost models across vendors, models, and deployment patterns to identify optimization opportunities. Establish target state requirements for cost efficiency and allocation logic.
• Vendor Cost Normalization & Commercial Strategy:
  Standardize vendor pricing constructs, metering, and SKUs into a unified financial abstraction layer. Act as financial lead in vendor negotiations, partnering with Procurement on pricing, reserved capacity, and transparency clauses. Ensure external agreements align with internal credit and consumption models.
• Return on Investment, Payback & Benefits Realization:
  Co-own enterprise AI value realization frameworks and benefits taxonomy. Define consistent measurement approaches across use cases. Partner with Finance and business leaders to convert value signals into recognized financial outcomes.
• AI Ledger, Credit & Banker Model:
  Own the enterprise AI credit ledger as the system of record for AI consumption. Establish governance for credit issuance, replenishment, and overage handling. Ensure alignment with corporate finance standards for showback/chargeback.
• Analytics & Executive Communication:
  Lead enterprise AI cost and value reporting for executive audiences (CIO, CFO, CISO, BU GMs). Deliver insights for operating reviews, steering committees, and board-level discussions.
• Budgeting, Forecasting & Investment Governance:
  Partner with BU Finance to develop AI budgets and rolling forecasts. Guide investment prioritization through value-based decision frameworks. Build financial accountability across business divisions.
• Cross-Functional Governance:
  Serve as the primary leader for AI financial governance across Finance, TBMO, Procurement, AI Operations, and BUs. Lead AI Cost & Value Management forums to ensure decisions are data-driven, transparent, and traceable. Drive enterprise maturity in Fin Ops for AI.

• Bachelor’s degree (or equivalent experience) in Finance, Economics, Business Analytics, Information Systems, Accounting, or related field.
• 8+ years in Fin Ops, FP&A, IT Finance, cost management, or business analytics, including 3+ years at senior/principal level.
• Proven ownership of consumption-based cost models at enterprise scale.
• Experience building and presenting value models, arguments, and benefit realization to executive audiences.
• Strong expertise in unit economics, cost modeling, vendor normalization, forecasting, and benefits attribution.
• Solid understanding of AI/LLM consumption constructs sufficient to define governance frameworks.
• Experience partnering with Procurement…