Supply Chain Planner

Location: 2100 Meadowvale Blvd, Mississauga, ON, CAN, L5N 7J9 (Hybrid – 2/3 days in office)Shift Type Day ShiftDescriptionThe Component Supply Planner supports component supply continuity through integrated demand and supply planning, shortage management, supplier collaboration, and forward-looking capacity analysis;
transforming from reactive to a proactive value-added role.The role uses E2open, Oracle Order Management and Oracle Agile PLM to establish reliable supply visibility, identify risks early and coordinate timely recovery actions across internal stakeholders, engineering, NPI team, suppliers and Tier 1 / contract manufacturing partners.The planner also contributes to process digitization, automation, and AI-enabled supply chain initiatives.
Key Responsibilities1. Component Supply Planning and Shortage ManagementMonitor component demand, inventory, open purchase orders, supplier commitments, and supply coverage.Identify material shortages, demand upside, constrained components, and potential supply interruptions.Perform supply-demand gap analysis and determine projected shortage dates, quantities and business impact.Maintain accurate shortage trackers, action logs, escalation summaries, and recovery commitments.
2. Proactive Supply and Capacity PlanningMeasure component level planning and fulfillment performance and set continuous improvement targets thru long range planning.Monitor supplier lead times, capacity constraints, single-source exposure and demand changes.Analyze and plan flexibility inventory buffers, reorder points (ROP), safety stock and supply coverage in line with approved policies.Identify opportunities to improve supply flexibility while balancing inventory, collaborate with category manager on supplier working capital, and obsolescence risks.
3. Systems, Analytics and Data IntegrityExperience in using Power BI, E2open, Oracle Order Management, and Oracle Agile to support component planning, order visibility, supply analysis, and data validation.Reconcile demand, inventory, open orders, supplier commitments and material requirements across relevant systems and partner data.Data sensing and ability to investigate data discrepancies, document root causes, and coordinate corrective actions with system owners.Develop and maintain standardized reports, planning trackers, performance metrics via PowerBI dashboards, over manual tracker.Reduce manual reporting and improve planning accuracy through repeatable, data-driven processes.
4. Cross-Functional CollaborationWork closely with CSP leadership, Demand Planning, Product / Business Unit teams, Procurement, Supplier Management and Tier 1 / contract manufacturing partners.Ability to identify the right time to communicate supply risks, recovery plans, assumptions and decision requirements clearly and in a timely manner.Participate in regular supply demand reviews, shortage meetings, and forward-capacity planning discussions.
5. Continuous Improvement, Automation and AIIdentify opportunities to automate repetitive planning, reconciliation, reporting and exception-management activities.Contribute to digital transformation, predictive analytics, AI or Agentic AI projects related to supply chain planning.Help define business requirements, test solutions, validate output, and measure business benefits.Apply appropriate data governance, validation and human oversight when using AI-generated insights or recommendations.
Required Qualifications and ExperienceBachelor's degree in business, economics with knowledge in supply chain management, Operations, Industrial Engineering, Business Analytics or a related discipline.3–5 years of relevant experience in component supply planning, material planning, supply-demand planning, procurement planning or shortage management.Working knowledge of E2open, Oracle Order Management and Oracle Agile. Candidates must be able to describe brief workflows or planning activities performed in these systems.Basic understanding of supply-demand balancing, purchase orders, inventory availability, lead times, supplier commitments and material constraints.Proficiency in Microsoft Excel, including data analysis, lookups, pivot tables and reporting.Basic analytical, problem-solving, follow-up and stakeholder-communication skills.
Preferred QualificationsExposure participating in AI, Agentic AI, machine learning, predictive analytics, or intelligent automation projects.Exposure to Power BI or similar analytics and workflow tools, strong ability for new tool adoption.Certification of APICs or CPIM is a plus.Basic commodity knowledge and supplier relationship exposure.Preferred Mandarin speaking candidates
Key Success MeasuresTimely identification and escalation of component supply risks.Accuracy of supply coverage, shortage analysis and recovery commitments.Adherence to action closure dates and quality of supplier / partner follow-up.Data quality and consistency across planning systems.Contribution to process-improvement, automation or AI initiatives.
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