Director, Scheduling

Job Type: Full-Time l Location: Texas l Department: Data Center Delivery l Reporting to: SVP, Data Center Delivery | Work Location Type: #remote IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN’s platform is underpinned by its expansive portfolio of grid-connected land and power in renewable-rich regions across North America, Europe and APAC. The Director, Data Center Scheduling is a strategic leadership role responsible for orchestrating the end-to-end delivery of IREN’s data center infrastructure across West Texas and Oklahoma. This leader owns the integrated master schedule (IMS) across all active and pipeline projects – from Childress and the Sweetwater hub through to our Woods County, Oklahoma development – ensuring seamless cross-functional alignment and proactive risk mitigation. 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. Job requirements Post secondary education in a relevant field such as Engineering, Construction Management, Supply Chain, Operations Research or a related discipline; a Master’s degree and/or PMP, PMI-SP, AACE PSP or CCP certification is preferred 10+ years of progressive experience in program/project management, with a heavy emphasis on complex mission-critical facilities, hyperscale data centers, or large-scale construction, energy or industrial engineering programs Demonstrated ownership of an integrated master schedule across multiple concurrent projects with a combined capital value of $100M+, ideally at gigawatt-scale campuses Mastery of advanced scheduling tools – Primavera P6 and/or MS Project – including WBS design, resource and cost loading, critical path and float management, and schedule risk analysis (including Monte Carlo) Working knowledge of data center delivery sequencing, including utility interconnection and energization, MEP long-lead procurement, commissioning levels (L1–L5) and integrated systems testing, and how each drives capacity availability dates Proven ability to build and interpret complex data analytics dashboards, capacity heat maps and scenario-planning models (Power BI, Tableau, Smartsheet or similar; SQL or Python an advantage)