Micron Technology

Technology

PrincipleAIFinOps&Tokenomics(ConsumptionIntelligence,CostGovernance&ValueRealization)

$350–650k ~AI est. Boise, Idaho, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principle AI FinOps & Tokenomics (Consumption Intelligence, Cost Governance & Value Realization) at Micron Technology. Skills: AI FinOps, Tokenomics, Consumption Intelligence, Cost Governance. Define data requirements for AI financial oversight. Specify usage signals to be captured”

What You'll Achieve.

Ensure every dollar spent on AI is justified; Maintain strict financial rigor; Grow AI rapidly

Industry & Context.

Technology
Problems you'll solve

Cost optimization; Value realization

What They're Looking For.

Must Have

Bachelor's degree in Finance

Nice to Have

Experience crafting internal credit models, Experience crafting banker models, Experience crafting token-bank models, Demonstrated success crafting commercial terms with hyperscalers, Demonstrated success crafting commercial terms with AI-native vendors, Prior ownership of enterprise benefits realization program, Prior ownership of value-tracking program

What You'll Do.

Define data requirements for AI financial oversight

Specify usage signals to be captured

Keep consumption data complete and accurate

Define canonical financial units of measure

Uphold enterprise unit-economics model

Translate consumption trends into financial narratives

Define role-based AI allocation policy

Develop comparative cost models

Quantify optimization opportunities

Define target requirements and business case

Normalize vendor pricing and metering

Lead fiscal aspects in AI vendor negotiations

Partner with Procurement on discounts

Ensure vendor economics align with credit model

Define enterprise AI Benefits Taxonomy

Define canonical measurement methods

Define AI value realization framework

Convert benefit signals into booked financial outcomes

Report enterprise AI return on investment

Own enterprise AI credit ledger

Define banker/credit governance policy

Define credit guardrail requirements

Ensure showback and chargeback aligns with standards

Own enterprise AI cost-and-value analytics

Deliver executive reporting

Build AI budgets and rolling forecasts

Guide investment prioritization

Coach partners on accountability

Act as point of accountability for AI financial

Operate AI Cost & Value Management forum

Champion FinOps-for-AI maturity enterprise-wide

How You'll Work.

Team & Collaboration

AI Operations Center of Excellence; Finance; Procurement; Business units; BU finance leads; TBMO; AI Operations

Communication Scope

Executive reporting; Business-readable narratives

Full Job Description

**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 pla

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