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

Our vision is to transform how the world uses information to enrich life for all .

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 Principal AI FinOps & Tokenomics for Micron’s EnableAI initiative, you will manage the financial operating model ensuring enterprise AI consumption is clear, predictable, and focused on value creation. You will be part of the AI Operations Center of Excellence and collaborate with Finance, Procurement, TBMO, and business units.

This role serves as the senior authority for AI consumption intelligence, cost allocation, vendor normalization, internal ledger and credit models, forecasting, return on investment framing, and benefits realization. You will turn AI consumption into normalized financial signals and executive-level insights to guide decisions by the CIO, CFO, CISO, and business leaders. You will also establish requirements for data, telemetry, allocation logic, and governance frameworks, which AI Operations will implement. Your mission is to help Micron scale AI aggressively while maintaining strong financial rigor. You will ensure every AI expenditure is governed, forecasted, and linked to measurable business value.

Responsibilities:

• Consumption Intelligence & Financial Reconciliation: Specify and take responsibility for the data and telemetry needed for AI financial governance. Make sure usage signals (token, GPU, inference, request, seat) are recorded, categorized, and reconcilable. Partner with AI Operations to maintain accurate consumption data aligned with financial outcomes. Sustain the enterprise unit-economics model and translate consumption data into business-friendly financial narratives.

• Role-Based Allocation Policy & Cost Models: Define the role-based AI allocation policy and entitlement requirements, mapping worker personas, work types, and value tiers to model access, token budgets, and tool entitlements. Develop comparative cost models across AI models, vendors, and deployment patterns, quantifying optimization opportunities and defining target requirements while AI Operations implements them.

• Vendor Cost Normalization & Commercial Partnership: Standardize vendor pricing, metering, billing granularity, and SKU classifications into a consistent abstraction layer. Act as the financial lead in AI vendor negotiations, collaborating with Procurement on discounts, reserved capacity, and cost-transparency clauses to ensure alignment with the internal credit model.

• Return on Investment, Payback & Benefits Realization: Share responsibility for the enterprise AI value realization subject area across the benefit portfolio. Establish and maintain the enterprise AI Benefits Taxonomy and standard measurement approaches. Develop the AI return on investment and payback framework and collaborate with use-case owners and Finance to translate benefit indicators into recorded financial results.

• AI Ledger, Banker & Credit Model: Manage the enterprise AI credit ledger as the financial system of record for AI consumption. Establish banker/credit governance policy, including issuance rules, replenishment thresholds, and overage handling. Ensure showback and chargeback treatment aligns with corporate finance standards.

• Analytics, Reporting & Executive Communication: Lead the enterprise AI cost-and-value analytics and reporting suite, supplying executive reporting for the CIO, CFO, CISO, and BU GMs at operating reviews, steering committees, and board-level briefings.

• Business Unit Budgeting, Forecasting & Investment Governance: Partner with BU finance leads to build, validate, and update AI budgets and rolling forecasts. Guide investment prioritization by assessing value signals and mentor partners to grow accountability.

• Cross-Functional Partnership & Governance: Take ownership as the main contact for AI financial governance across Finance, TBMO, Procurement, AI Operations, and business units. Facilitate the AI Cost & Value Management governance forum to maintain decisions that are supported by data and fully traceable, advancing FinOps-for-AI maturity enterprise-wide.

Minimum Qualifications:

• Bachelor's degree or equivalent experience in Finance, Economics, Business Analytics, Information Systems, Accounting, or a related field.

• 8+ years of progressive experience in technology cost management, FinOps, FP&A, IT finance, or business analytics. At least 3 of these years must be at a senior or principal level.

• Demonstrated ownership of consumption-/usage-based cost fields and frameworks at enterprise scale.

• Track record constructing and defending technology arguments, return on investment models, and post-implementation benefit reviews to executive audiences.

• Solid command of unit-economics modeling, multi-vendor cost normalization, forecast methodology, and benefits attribution, with proficiency in cost analytics tooling and cloud/AI cost or ITFM platforms.

• Working knowledge of AI/LLM consumption mechanics sufficient to define financial governance and enforcement requirements.

• Experience collaborating with Procurement on vendor agreements, with familiarity in FinOps Foundation principles, the FOCUS specification, and TBM taxonomy.

• Executive-ready communication and strong multi-functional influencing skills.

Preferred Qualifications:

• FinOps Certified Practitioner, FinOps for AI specialization.

• Prior experience establishing a FinOps, Cloud Economics, or AI Cost & Value governance function from the ground up.

• Experience supporting AI cost governance in a high-volume operating environment.

• Experience crafting internal credit, banker, or token-bank models for shared technology services.

• Experience crafting commercial terms with hyperscalers or AI-native vendors.

• Prior ownership of an enterprise benefits realization or value-tracking program covering developer efficiency, agentic automation, or knowledge-worker AI.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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To learn more about Micron, please visit micron.com/careers

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