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 the Principle AI FinOps & Tokenomics (Consumption Intelligence, Cost Governance & Value Realization) at Micron, you will lead a groundbreaking initiative. This role focuses on making AI consumption transparent, predictable, and highly effective. You will collaborate with our AI Operations Center of Excellence and departments like Finance, Procurement, and business units to establish financial governance for AI consumption.

Your mission is to ensure that Micron can grow AI rapidly while maintaining strict financial rigor. You must ensure every dollar spent on AI is justified by measurable business value. Join us to lead this ambitious journey and be a part of a world-class team!

Responsibilities 

Consumption Intelligence & Financial Reconciliation 

• Define and own the data and telemetry requirements connected to AI financial oversight. Specify which usage signals (token, GPU, inference, request, seat) must be captured, tagged, and made reconcilable. Partner with AI Operations, who operate the pipelines, to keep consumption data complete, accurate, and reconcilable to financial actuals. 

• Define canonical financial units of measure (cost-per-credit, -token, -active-user, -use-case-class, -outcome), uphold the enterprise unit-economics model, and translate consumption trends, cost spikes, and forecast-variance drivers into business-readable financial narratives.  

Role-Based Allocation Policy & Cost Models 

• Define the role-based AI allocation policy and entitlement requirements — the financial logic mapping worker personas, work types, and value tiers to model access, token budgets, and tool entitlements — which AI Operations translates into enforceable platform constructs. 

• Develop comparative cost models across AI models, vendors, and deployment patterns (API, dedicated capacity, fine-tuned, on-prem, edge) and quantify optimization opportunities (right-sizing, caching, tiered routing), defining the target requirements and business case while AI Operations owns technical implementation. 

Vendor Cost Normalization & Commercial Partnership 

• Normalize vendor pricing, metering, billing granularity, and SKU taxonomies into one FOCUS-aligned abstraction layer. Lead fiscal aspects in AI vendor negotiations and renewals. Partner with Procurement on discounts, reserved capacity, and cost-transparency clauses. Ensure vendor economics align with the internal credit model. 

ROI, Payback & Benefits Realization 

Co-owns with Finance the value realization field related to AI within the organization across the benefit portfolio — software development & engineering efficiency, agentic workflows & process automation, personal & knowledge-worker efficiency, customer & commercial outcomes, manufacturing/engineering/R&D acceleration, risk/security/compliance, and cost avoidance & capacity reclamation. Specifically: 

• Define and maintain the enterprise AI Benefits Taxonomy and canonical measurement methods (hard-dollar, capacity-equivalent, cost avoidance, revenue, risk-reduction), with defensible baseline and attribution rules that hold up to Finance, audit, and executive scrutiny. 

• Define the AI value realization framework — pre-investment argument, in-flight tracking, and post-implementation benefits realization review — for each material AI investment.  

• Partner with use-case owners and Finance to convert benefit signals into booked financial outcomes (run-rate savings, capacity redeployment, plan reductions) and report enterprise AI return on investment, payback period, and value-per-dollar-spent at the executive operating cadence. 

AI Ledger, Banker & Credit Model 

• Own the enterprise AI credit ledger as the financial system of record for AI consumption (allocations, issuance, replenishment, draws, transfers, true-ups, chargebacks) and define banker/credit governance policy: issuance rules, replenishment thresholds, overage handling, reallocation approval, internal pricing, and period close. 

• Define the credit guardrail requirements — the thresholds and conditions at which alerts, throttles, or cut-offs trigger, which AI Operations implements and enforces — and ensure showback and chargeback treatment aligns with corporate finance and accounting standards and remains auditable. 

Analytics, Reporting & Executive Communication 

• Own the enterprise AI cost-and-value analytics and reporting suite (dashboards, scorecards, exception alerts spanning spend, consumption, benefit, and forecast accuracy), and deliver executive reporting for the CIO, CFO, CISO, and BU GMs at operating reviews, steering committees, and board-level updates. 

Business Unit Budgeting, Forecasting & Investment Governance 

• Partner with BU finance leads to build, validate, and re-baseline AI budgets and rolling forecasts — leading AI inputs into the AOP and quarterly outlook, reconciling actuals to plan — and guide investment prioritization (scale, hold, or constrain on ROI signals) while coaching partners so accountability scales without a central bottleneck. 

Cross-Functional Partnership & Governance 

• Act as the single point of accountability for AI financial governance across Finance, TBMO, Procurement, AI Operations, and the business — operating the AI Cost & Value Management governance forum to keep allocation, vendor, optimization, and benefits decisions evidence-based and traceable, and championing FinOps-for-AI maturity (crawl → walk → run) enterprise-wide.  

Minimum Qualifications 

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

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

• Demonstrated ownership of consumption-/usage-based cost disciplines (cloud FinOps, SaaS, or AI cost management) and frameworks such as cost allocation, chargeback/showback, internal credit/ledger, or benefits realization at enterprise scale. 

• Track record constructing and defending technology business cases, ROI models, and post-implementation benefit reviews to executive audiences. 

• Strong command of unit-economics modeling, multi-vendor cost normalization, forecast methodology, and benefits attribution, with proficiency in cost analytics tooling (Power BI, Tableau, SQL) and cloud/AI cost or ITFM platforms (Azure Cost Management, AWS Cost Explorer, CloudZero, Apptio, or equivalent). 

• Working knowledge of AI/LLM consumption mechanics — tokens, context windows, model tiers, inference vs. training, GPU economics — sufficient to define financial governance and enforcement requirements (technical implementation resides with AI Operations). 

• Experience collaborating alongside Procurement for enterprise software, cloud, or AI vendor agreements (committed-use discounts, rate cards, cost-transparency provisions), with familiarity in FinOps Foundation principles, the FOCUS specification, and TBM taxonomy.  

• Executive-ready written and verbal communication and strong cross-functional influencing skills. Able to present complex financial, consumption, and return on investment narratives to CIO, CFO, CISO, and business unit leaders. They drive accountability without direct authority. 

Preferred Qualifications 

• FinOps Certified Practitioner, FinOps for AI specialization. 

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

• Experience supporting AI cost governance in a manufacturing, semiconductor, or other 24x7 high-volume operating environment. 

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

• Demonstrated success crafting commercial terms with hyperscalers (Microsoft, AWS, Google) or AI-native vendors (OpenAI, Anthropic). 

• 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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