Fanatics-posted about 1 year ago
Full-time • Senior
Atlanta, GA
1,001-5,000 employees
Food Services and Drinking Places

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.

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