Supply Chain Planner

Job Description

Role Overview

The 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 Responsibilities

1. Component Supply Planning and Shortage Management

• Monitor 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 Planning

• Measure 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 Integrity

• Experience 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 Collaboration

• Work 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 AI

• Identify 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 Experience

• Bachelor'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 Qualifications

• Exposure 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 Measures

• Timely 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.

The expected base salary range for this position is $35 – $39 per hour, depending on experience, skills, and internal equity.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.

For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.