Program Manager, Supply Chain Analytics

IREN

. Support cross-functional implementations of analytics, dashboards, and AI-based tools by program-managing requirements across stakeholders .

Posted 10/23/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $190,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in supply chain analytics, including building and validating forecasting models, program management of cross-functional implementations, and developing AI-based tools for risk management. Proficient in utilizing analytics tools and methodologies to drive data-driven decision-making across procurement and operations.

Highest-signal resume keywords

Supply Chain AnalyticsForecasting Model DevelopmentProgram ManagementAI Tool DevelopmentERP/MRP Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SciencePredictive ModelingSpend AnalysisSupplier Performance TrackingInventory Health AnalysisLead-Time TrackingOn-Time Delivery TrackingPrompt DesignOutput EvaluationData Quality Management

Soft Skills

Stakeholder ManagementClear CommunicationAnalytical Problem Solving

Tools & Technologies

Power BITableauLookerCoupaAribaIvaluaCraftInterosResilincAI Infrastructure

Industry Keywords

Supply ChainProcurementOperationsFinanceCapital ProjectsData CenterEnergyConstructionLogisticsSource-To-Contract

Tech Stack

Tools & technologies

ERPTableau

About the role

Key responsibilities & impact

Support cross-functional implementations of analytics, dashboards, and AI-based tools by program-managing requirements across stakeholders
Own recurring supply chain analytics outputs, including spend analysis, supplier performance scorecards, lead-time and on-time-delivery tracking, inventory health, and transformation KPIs
Frame procurement, planning, finance, and capital-project business questions as analytical problems and deliver clear recommendations
Build and validate forecasting models for demand, lead times, delivery dates, should-cost, and price trends
Partner with the Risk Manager to develop supplier-risk and delivery-risk AI tools and dashboards
Prototype optimization and scenario models for inventory policy, site allocation, and sourcing mix, then hand production-ready logic to the Data Engineer
Identify and deliver LLM and agentic use cases across the supply chain
Build repeatable AI tools using prompts, internal-document retrieval, evaluation sets, and human-in-the-loop checks in line with AI and data-security policies
Partner with the Supply Chain Data Engineer on data requirements, definitions, and quality issues
Report to the Director, Supply Chain Analytics & Engineering

Requirements

What you’ll need

Bachelor's degree in statistics, data science, engineering, economics, supply chain, or a related field, or equivalent practical experience
5+ years in analytics, data science, or applied AI, including at least 2 years working on supply chain, procurement, operations, or finance problems
Program management experience supporting multi-team and cross-functional implementations of tools, processes, or solutions
Strong understanding of supply chain processes, tools, stakeholder interactions, and processes
Experience working with ERP/MRP, CLM, PLM, and QMS tools
Hands-on experience applying LLMs to business workflows, including prompt design, retrieval-augmented generation over internal documents, output evaluation, and building tools or agents with current APIs and frameworks
Proficiency in Power BI, Tableau, or Looker
Working knowledge of source-to-contract, procure-to-pay, planning, inventory, and logistics processes
Experience with procurement and supplier-risk platforms such as Coupa, Ariba, Ivalua, Craft, Interos, or Resilinc, or supply-market intelligence sources
Demonstrated experience building and validating forecasting or predictive models used in real decisions
Ability to explain model limitations to non-technical audiences
Experience in data center, AI infrastructure, energy, construction, or other capital-project-heavy industries with long-lead equipment preferred
Pre-employment screening, including background check and substance testing, may be required
Ability to reliably commute to the assigned office on scheduled in-office days under the hybrid arrangement
Willingness to travel domestically and internationally to supplier and vendor sites, data centers, implementation partner locations, and industry events
Authorization to work in the United States

Benefits

Comp & perks

Annual performance incentives
Equity programs / long-term incentive
Relocation or living-out allowance / per diem, as applicable
100% company-paid medical, dental, and vision insurance premiums for employees
75% company-paid coverage for dependents
Company-paid short-term and long-term disability insurance
Voluntary life, critical illness, and accident coverage
Health Savings Accounts (HSA) with the High Deductible Health Plan
Employee Assistance Program and wellness resources
401(k) retirement plan with company match
Financial planning and legal services
Paid Time Off (PTO) and paid holidays
Internal skills training and advancement pathways
Professional development for certifications, continuing education, or role-related training
Company events and team-building activities