Supply Chain Manager

As a Supply Chain Manager in Analytics & Strategy, you will play a crucial role in leading strategic analytics initiatives to enhance operational excellence, cost efficiency, and resilient supply chain practices. Your responsibilities will include: - Designing and implementing analytics strategies to improve partner claims management, drive cost savings, and enhance supply chain resilience. - Leading complex analytics programs using automation, machine learning, and predictive modeling to enhance performance and scalability. - Driving the quarterly pricing process for multiple CM/ODM partners, including coordinating with internal stakeholders, collecting component pricing, and ensuring timely submission by all partners. - Maintaining the Item Master list and collaborating with planning and NPI to identify new product releases and site moves. - Negotiating with suppliers on partner controlled material pricing, manufacturing cost, and additional costs. - Reviewing partner claims to ensure accuracy and identify unapproved spend or misclassifications. Furthermore, you will be responsible for: - Defining and refining key performance indicators (KPIs) and metrics to assess impact and drive continuous improvement. - Delivering insights on category spend, trends, forecasts, and anomalies to support strategic sourcing and financial planning. - Exploring and implementing emerging technologies, tools, and best practices to support agile and efficient supply chain operations. - Serving as a trusted advisor and offering data-informed insights to influence senior stakeholders and organizational strategy. - Acting as a local team lead, owning medium-to-high complexity projects and mentoring junior team members for inclusive growth and skill development. Qualifications: Required: - Bachelors or Masters degree in Computer Science, Data Science, Supply Chain Management, Operations Research, or a related field. - 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 in a quantitative or analytical discipline. - Strong project management capabilities with the 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. The company values curiosity, creativity, diverse experiences, a team-first approach, thoughtful communication, and a passion for solving complex problems collaboratively.,