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We are seeking a collaborative and innovative Supply Chain Manager to lead strategic analytics initiatives that drive operational excellence, cost efficiency, and resilient supply chain practices. This role blends leadership, technical skill, and a passion for data to create sustainable, impactful solutions. You'll work across teams, guide decision-making through analytics, and help shape the future of how we manage supply chain operations.
Job Responsibility:
Design and implement analytics strategies that improve partner claims management, drive cost savings, and enhance supply chain resilience
Lead complex analytics programs using automation, machine learning, and predictive modeling to improve performance and scalability
Drive quarterly pricing process for multiple CM/ODM partners
Maintain Item Master list and work with planning and NPI to identify new product releases
Negotiate with suppliers on partner controlled material pricing, manufacturing cost, and additional costs
Review partner claims to ensure accuracy
Serve as a trusted advisor offering data-informed insights
Foster alignment between analytics, supply chain, finance, and planning teams
Mentor junior team members and support growth
Lead medium-to-high complexity projects and engage stakeholders
Identify areas for process improvement and lead efforts to streamline workflows using automation and AI
Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, Supply Chain Management, Operations Research, or a related field (or equivalent experience)
8+ years of experience in supply chain analytics, ERP systems, or category/operations management
Strong knowledge of statistical modeling, forecasting, and process optimization techniques
Experience leading cross-functional initiatives and using data to influence strategy
Comfortable working in dynamic, global environments
Nice to have:
Advanced degree (Master’s or higher) in a quantitative or analytical discipline
Strong project management capabilities, with a proven ability to handle multiple priorities
Detail-oriented with the ability to identify trends, anomalies, and opportunities in large datasets
Hands-on expertise with data modeling, automation, and pipeline development
Proficiency with tools such as SQL, Python, R, Tableau, or Power BI
Strong communication skills to explain complex data clearly to diverse audiences
What we offer:
Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
Programs catered to helping you reach career goals
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