Technical Lead – Planning Systems & Data

Job Type: Full-Time l Location: San Francisco, CA lDepartment: AI Infrastructure Supply Chain lReporting to: Senior Director, IBP AI Infrastructure | 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.

As the T echnical Lead for Supply Chain Planning Systems and Data, you will architect, scale, and own the technical roadmap for the platforms that drive our global data center footprint. You will bridge the gap between complex supply chain business processes-such as Demand Planning, Capacity Forecasting, Material Requirements Planning (MRP), and S&OP-and cutting-edge software and data systems. You will transform massive datasets into real-time, actionable orchestration engines, ensuring our data centers have the hardware they need ahead of cloud demand curves.

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

• Define the end-to-end technical architecture and data strategy for IREN’s proprietary and integrated supply chain planning platforms, and own the technical roadmap for them.
• Translate supply chain business problems (for example component shortage constraints and component transitions) into scalable software requirements and technical roadmaps.
• Lead the integration of Enterprise Resource Planning (ERP) and Supply Chain Planning (SCP) systems (for example SAP and Oracle) with bespoke internal microservices and telemetry data.
• Oversee the design and optimization of high-throughput distributed data pipelines, both batch and real-time streaming, handling telemetry, hardware pipeline milestones and vendor forecasting.
• Partner with Data Science to deploy machine learning and advanced analytics models for component-level demand forecasting, lead-time anomaly detection and buffer stock optimization.
• Own the demand and supply planning master data strategy and roadmap for IREN’s AI infrastructure supply chain, defining which domains are mastered, where each is sourced and how master data is distributed to consuming systems.
• Define the source-of-truth system and record for all master data, including Part Master, Material/Item Master, Product Master, Supplier Master, Customer Master (the data center as the customer entity), Asset Master and Service Master, and own the mapping of master data domains to their source-of-truth systems.
• Design and govern the integration architecture by which ERP, PLM, procurement, quality, inventory and warehouse, finance and project-controls systems ingest, exchange and reconcile master data, working with IT and Data Engineering on APIs, middleware and data pipelines.
• Ensure systematic linkages are in place to flow master data from the source of truth to downstream systems, and that the integrity of master records is maintained and compliant over the life cycle of the record.
• Establish master data governance policies, data ownership, stewardship roles and approval workflows, and serve as the senior escalation point for data standards, conflicts and exceptions.
• Define master data quality KPIs (completeness, accuracy, consistency, timeliness, duplication) and drive root-cause remediation with system owners, stewards and Data Engineering.
• Develop and lead periodic data reviews and audits in partnership with functional data owners to ensure accuracy.
• Partner with Analytics and Data Engineering to publish conformed dimensions, reference data and a data catalog so analysts and business users can find, trust and consistently use master data.
• Translate business definitions from Finance, Sourcing, Quality and Operations into structured, system-ready master data standards, and resolve conflicting requirements across functions.
• Identify systemic gaps in data capture, identifiers and cross-system mappings, and lead continuous-improvement initiatives to close them.
• Publish master data health and integration status reporting for leadership, with clear risks and recommended actions.
• Provide technical direction and code review standards to a team of software and data engineers, fostering an agile, innovation-driven culture.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Operations Research, Data Science, Supply Chain Management, Engineering or a related quantitative field; MBA or advanced degree preferred.
• 10+ years of experience in software development and data engineering, with at least 3 years in a formal Technical Lead or Architect capacity, ideally at a hyperscaler, cloud provider, OEM/ODM or AI infrastructure company.
• Proven track record building or scaling software for supply chain planning, such as S&OP, demand planning, supply planning, spares planning, inventory optimization, factory capacity scheduling or material tracking.
• Deep proficiency with big data technologies and distributed computing frameworks (for example Spark, Flink and Kafka) and cloud data warehouses (for example Snowflake and BigQuery).
• Strong proficiency in languages such as Java, Python or Go, with deep knowledge of microservices architecture, API design and system modeling.
• Extensive experience designing and deploying cloud-native applications on hyperscale environments (AWS, Azure, Google Cloud).
• Proven experience designing and owning enterprise data models and domains (material/part, supplier, customer, BOM, site/project, cost center and chart-of-accounts mappings), including hierarchies, taxonomies, attributes and lifecycle rules.
• Strong technical understanding of how master data flows between ERP, PLM, procurement/P2P, quality (QMS), inventory and warehouse, finance and project-controls systems, and of the integration patterns (APIs, middleware, extracts, CDC, event-based) used to keep them in sync.
• Hands-on experience with ERP master data (SAP ECC, S/4HANA, Oracle) and SCP tools (Kinaxis, SAP IBP, Oracle Fusion DP/SP, JDA), including customizing or interfacing with them through modern API frameworks.
• Working expertise with data-quality measurement, data stewardship operating models and change-control workflows for master data creation, change and obsolescence.
• Experience leading cross-functional planning with Finance, Procurement, Quality and Commercial teams.
• Strong hands-on problem solving, data analysis and communication skills, with the ability to operate autonomously across finance, supply chain, quality, IT and data engineering teams.
• Experience with high-tech hardware supply chains, data center infrastructure manufacturing or server component tracking preferred.
• Familiarity with linear programming, MILP or heuristic optimization techniques used in logistics or inventory planning preferred.

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 may involve periodic travel to supplier and vendor sites, data centers 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.

Benefits

The IREN Package

At IREN, we offer a highly competitive compensation package that includes base salary, annual performance incentives, and opportunities to build long-term wealth through equity programs. These offerings are part of our broader Total Rewards package, thoughtfully designed to support your health, well-being, and long-term success.

Compensation

• The expected base salary for this role USD $290,000-$330,000/annum.
  • Actual compensation will be determined based on factors such as experience, qualifications, and market data for the region.
• Total Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive).
• Relocation or Living-out-allowance / per diem (as appliable and based on successful candidate circumstances)

Health & Wellness

• 100% company paid health insurance premiums (medical, dental, and vision) for employees, 75% company paid coverage for dependents
• Company-paid short-term and long-term disability insurance
• Voluntary life, critical illness, and accident coverage available
• Health Savings Accounts (HSA) - when combined with the High Deductible Health Plan
• Employee Assistance Program and wellness resources

Retirement & Financial Wealth

• 401(k) retirement plan with company match
• Access to financial planning and legal services

Time Off & Leave Programs

• Paid Time Off (PTO) and paid holidays

Growth & Development

• Internal skills training and advancement pathways
• Professional development to support certifications, continuing education, or role related training

Community & Culture

• Company events and team-building activities

We value diverse perspectives and believe that skills can be developed. If you’re passionate about this role, we want to hear from you - whether you meet every criteria or not. Your unique experiences might be exactly what we need!

IE US Operations Inc., the employing entity and proud member of the IREN group is an equal opportunity employer that is committed to creating an inclusive workplace. We are committed to evaluating qualified applicants and do not discriminate against protected characteristics under applicable legislation.

IE US Operations, Inc. “IREN” participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

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