Program Manager, Supply Chain Analytics at IREN in San Francisco, CA

Job description

Job Type: Full-Time l Location: San Francisco, CA l Department: AI Infrastructure Supply Chain l Reporting to: Director, Supply Chain Analytics | Work Location Type: #hybrid IREN is a leading AI Cloud Service Provider, delivering large-scale GPU clusters for AI training and inference. IREN’s vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the U.S. and Canada. The Program Manager, Supply Chain Analytics enables the modernization of IREN’s global supply chain systems and tools portfolio by turning data into decisions: forecasts, supplier risk signals, should-cost models, Clear to Build dashboards, and AI-assisted workflows that enable the Supply Chain team to scale. Reporting to the Director, Supply Chain Analytics & Engineering, this individual will shape the analysis, modeling and AI layer on top: framing the business question, building envisioning solutions, and applying LLM and agentic tools to supply chain work. With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high performance compute. We believe that human progress is invaluable, but it should be done in the right way - responsibly, sustainably and having a positive impact on the communities we operate in. Responsibilities 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, with at least 2 years working on supply chain, procurement, operations or finance problems. Program management experience supporting multi-team and function implementations of tools, processes, or solutions. Strong understanding of supply chain processes, tools, stakeholder interactions, and processes and experience working with ERP/MRP, CLM, PLM, QMS tools Hands-on experience applying LLMs to business workflows: prompt design, retrieval-augmented generation over internal documents, evaluation of outputs, and building small tools or agents with current APIs and frameworks. Proficiency in a BI tool (Power BI, Tableau or Looker) and in designing metrics people trust. Working knowledge of supply chain processes – source-to-contract, procure-to-pay, planning, inventory, logistics – and the decisions each one turns on. Experience with procurement and supplier-risk platforms (Coupa, Ariba, Ivalua, Craft, Interos, Resilinc) or supply-market intelligence sources. Demonstrated experience building and validating forecasting or predictive models that were used in real decisions, and explaining their limits to non-technical audiences. Prefer experience in data center, AI infrastructure, energy, construction or other capital-project-heavy industries with long-lead equipment (GPUs, networking, transformers, switchgear, generators). Other important requirements Pre-employment screening, including background check and substance testing may be required according to company policies. Must be able to reliably commute to the assigned office location on scheduled in-office days under the hybrid work arrangement. This role requires willingness to travel domestically and internationally to supplier and vendor sites, data centers, implementation partner locations, and industry events. IREN does not yet have an office in the Bay Area (a Santa Clara office is planned); until it opens, this role will work remotely, transitioning to hybrid on-site work once the office is established. Requirements Support cross-functional implementations of analytics, dashboards, and AI-based tools by program managing requirements across stakeholders. Own the recurring supply chain analytics output creation and execution: spend analysis, supplier performance scorecards, lead-time and on-time-delivery tracking, inventory health and transformation KPIs, built on the governed datasets the Data E