JOB SUMMARY

The Team Leader of Supply Chain Analytics is a strategic leader responsible for driving enterprise-wide supply chain analytics initiatives. This role focuses on high-impact projects, ensuring high-quality data is used for advanced modeling and digital transformation efforts.

The Team Leader of Supply Chain Analytics will be responsible for:

• Setting departmental direction and goals
• Leading a team of Analysts
• Driving process improvements
• Partnering cross-functionally with key internal business partners in the US, India, and Vietnam
• Establishing excellence in business analytics

The Team Leader of Supply Chain Analytics will be a servant leader who builds a team and a culture that exhibits passion for supply chain, 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.
• 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 and advanced analytics.

MINIMUM QUALIFICATIONS

1. Education

• Bachelor, Master or Ph.D. in Data Science, Supply chain, Operations Research, or related field – Required.

1. Experience

• 5+ years in supply chain analytics, data science, or business intelligence – Preferred.

1. Knowledge, Skills, and Abilities

• Advanced expertise in SQL, Python, R, and cloud-based analytics platforms.
• Advanced expertise with data visualization software such as PowerBI or Tableau.
• 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.