54523M-Supply Chain Manager

Supply Chain Manager – Analytics & Strategy

About the Role

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.

Key Responsibilities

🔹 Strategic Leadership & Analytics Execution

• 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, including creating the pricing timeline in coordination with internal stakeholders, coordinating with GCM to collect and organize component pricing, ensuring timely submission by all partners and completing cost rollup to shippable SKUs.
• Maintain Item Master list and work with planning and NPI to identify new product releases and any site moves, including engaging in ECO/MCO review and approval, pricing load and DOF adds.
• Negotiate with suppliers, as necessarily, on partner controlled material pricing, manufacturing cost and additional costs (OCOGS). 
• Review partner claims to ensure accuracy, identifying spend that is unapproved, misclassified, or out of scope.
• Collaborate with cross-functional teams and senior leadership to align analytics strategies with broader business goals.

🔹 Data-Informed Decision Making & Innovation

• Define and refine key performance indicators (KPIs) and metrics to assess impact and drive continuous improvement.
• Deliver insights on category spend, trends, forecasts, and anomalies—supporting strategic sourcing and financial planning.
• Explore and implement emerging technologies, tools, and best practices that support inclusive, agile, and efficient supply chain operations.

🔹 Stakeholder Engagement & Influence

• Serve as a trusted advisor, offering data-informed insights that influence senior stakeholders and organizational strategy.
• Translate technical findings into clear, compelling business recommendations.
• Foster alignment between analytics, supply chain, finance, and planning teams to ensure seamless operations and shared success.

👥 Leadership & Team Development

• Act as a local team lead, owning medium-to-high complexity projects and engaging stakeholders across functions.
• Mentor junior team members, fostering inclusive growth and skill development.
• Lead medium- to high-complexity projects and serve as the local point of contact for analytics execution.
• Promote inclusive team development by supporting growth, offering feedback, and encouraging diverse perspectives.
• Help establish best practices in modeling, reporting, and analysis that foster transparency and equity in decision-making.

🔹 Process Optimization & Automation

• Identify areas for process improvement and lead efforts to streamline workflows using automation and AI.
• Improve data pipelines and quality standards to support timely and accurate analytics.
• Build repeatable and scalable frameworks that ensure consistency across analytics activities.

Qualifications

We recognize that people bring a variety of skills, experiences, and backgrounds. If you meet most of the requirements below and are excited about the role, we encourage you to apply—even if you don’t check every box.

✅ Required

• 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.

✨ Preferred

• 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.

We Value

• Curiosity, creativity, and a commitment to continuous learning
• Diverse experiences, backgrounds, and perspectives
• A team-first approach and the ability to work with empathy and transparency
• Thoughtful communication and a passion for solving complex problems collaboratively