Director, Supply Chain Systems and AI Enablement

About the role

The Director, Supply Chain Systems and AI Enablement enables the modernization of IREN’s global supply chain systems and tools portfolio. Reporting to the Sr. Director, Strategy and Transformation, this leader is the primary strategy architect of systems for the AI Infra Supply Chain organization, including ERP, PLM, P2P and Planning. Leading a team of Program Managers, this leader partners with business owners across Technical Sourcing, Planning, Hardware Procurement Supply Chain Business Operations, Quality Engineering, Engineering, Finance, Legal, and IT to map current-state capabilities, identify gaps, and deliver practical solutions that create immediate impact for functional teams while supporting future scale.

Responsibilities

• Co-develop IREN’s Digital Supply Chain strategy with the Sr. Director, Strategy and Transformation, and own the application portfolio and multi-year systems roadmap that bring it to life.
• Build and lead a high-performing supply chain systems program management team, establishing best practices, KPIs, and governance cadences as IREN’s application portfolio scales.
• Partner with internal teams to capture existing processes and develop a prioritized implementation roadmap that introduces new capabilities with clear business outcomes.
• Understand business requirements and translate them into systems capabilities, configurations, and solution designs.
• Develop the foundational enterprise supply chain systems (ERP, PLM, APS, analytics) that enable current business operations and scale to support future needs.
• Establish master data governance and system resiliency, including data ownership, quality standards, controls, and business continuity for critical platforms.
• Advance forecasting, scenario modelling, and predictive analytics across supply, demand, material, and capacity planning.
• Implement S&OP and IBP processes and supporting systems to establish planning horizons, align internal teams, and drive financial forecasting.
• Identify, prioritize, and deploy AI/ML and automation use cases across the supply chain, including agentic and workflow automation, and build the data readiness required to scale them safely.
• Develop and manage relationships with systems implementation partners to execute design strategies,