Director, Supply Chain Analytics (End-to-End)

Fanatics • Atlanta, GA

390d

About The Position

The Director of End-to-End Supply Chain Analytics & Data Science at Fanatics, Inc. is responsible for developing and implementing a comprehensive analytics strategy that optimizes the entire supply chain lifecycle. This role leverages advanced analytics, machine learning, and data science to enhance operational efficiency, improve decision-making, and drive cost savings across the supply chain. The director will lead a team of data scientists and analysts, ensuring real-time visibility and collaboration across various functions to support strategic objectives.

Requirements

• 10+ years of experience in data analytics, data science, or supply chain management.
• At least 5 years in a leadership role driving analytics strategies within global supply chains.
• Strong experience in implementing analytics solutions at scale.
• In-depth understanding of supply chain processes including procurement, manufacturing, and logistics.
• Proven experience in applying data science and advanced analytics techniques.
• Expertise in data integration, data warehousing, and business intelligence platforms.
• Strong leadership skills with the ability to manage and mentor a team.
• Exceptional problem-solving and critical thinking skills.
• Excellent communication skills to present complex data to non-technical stakeholders.
• Bachelor's or Master's degree in Data Science, Supply Chain Management, or related field.

Nice To Haves

• Knowledge of key industry trends such as digital supply chain, IoT, and blockchain.
• Familiarity with ERP systems like SAP or Oracle.
• Certifications in data science, machine learning, or supply chain management.

Responsibilities

• Develop and implement a comprehensive analytics strategy for the entire supply chain lifecycle.
• Lead efforts to integrate and streamline data across multiple systems and functions.
• Drive the automation of data collection and reporting processes.
• Oversee the application of machine learning algorithms and predictive analytics to optimize inventory management and improve production scheduling.
• Use data science techniques to solve key supply chain challenges such as demand forecasting and logistics optimization.
• Ensure real-time, end-to-end visibility across the supply chain by developing advanced dashboards and reporting tools.
• Partner with key stakeholders in operations, procurement, logistics, IT, and finance to align on analytics objectives.
• Establish data governance frameworks to ensure the quality and accuracy of supply chain data.
• Build, lead, and mentor a high-performing team of data scientists and analysts.
• Stay up to date with the latest trends in data science and supply chain technology.

Benefits

• Competitive salary range of $165K - $209K per year.
• Opportunities for professional development and continuous learning.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Food Services and Drinking Places
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees