Job Summary

Global Supply Chain Analytics Manager is a strategic leader responsible for driving enterprise-wide supply chain analytics initiatives for the Global Supply Chain Planning department. As the leader of Global Supply Chain Analytics, this role will ensure the analytics team delivers accurate data in a business-friendly format, delivering “products” that driven innovation across Company’s global supply chain.

This position is responsible for:

Setting departmental direction and goals
Establishing and leading a team of analytics professionals
Driving process improvements through data analytics and partnership with business leaders
Partnering cross-functionally with key internal business partners in the US, India, China, and Vietnam
Establishing excellence in supply chain analytics

Global Supply Chain Analytics Manager will be a servant leader who builds a team and a culture that exhibits a passion for supply chain planning, ownership of their responsibilities, and a collaborative mindset.

Essential Duties & Responsibilities

Design and implement advanced analytics strategies leveraging enterprise-wide data sources to optimize supply chain operations.
Develop and oversee data governance policies, ensuring accuracy, consistency, and reliability across reporting systems.
Partner with data engineering teams in the US and India to establish the necessary data framework for enabling supply chain business users to create reports.
Lead the review and clean-up of existing supply chain reports in PowerBI, eliminating duplicated reports, standardizing report format, and verifying data integrity.
Lead machine learning and AI-driven projects for supply chain forecasting, risk management, and optimization.
Partner with senior executives to define key performance metrics and strategic analytical priorities.
Identify and implement emerging technologies (AI, IoT, Blockchain) to enhance supply chain visibility and efficiency.
Act as a mentor and technical leader for the analytics team, ensuring best practices in data management, advanced analytics, and data visualization.

Job Requirements

1. Education

Master’s degree in Data Science, Supply Chain Management, Industrial Engineering, or a related field – Preferred

2. Experience

5+ years in supply chain management – Required.
5+ years in supply chain analytics, data science, or business intelligence – Required.

3. Knowledge, Skills, and Abilities

Advanced expertise in SQL, Python, R, and cloud-based analytics platforms - Required
Advanced expertise with data visualization software such as PowerBI or Tableau - Required
Extensive experience working with large-scale enterprise data warehouses and business intelligence platforms.
Proven ability to lead data quality and governance initiatives at an enterprise level.
Strong leadership and strategic thinking skills, with experience influencing C-level executives and business leaders.
Understanding of supply chain planning principles and best practices.

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