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

JOB TITLE - DIRECTOR OF E2E(END-TO-END) SUPPLY-CHAIN ANALYTICS & DATA SCIENCE

 

Key Responsibilities:

• End-to-End Supply Chain Analytics Strategy: Develop and implement a comprehensive analytics strategy for the entire supply chain lifecycle, leveraging data science, machine learning, and advanced analytics to optimize operations from procurement through to customer delivery.
• Data Integration & Automation: Lead efforts to integrate and streamline data across multiple systems and functions, ensuring that supply chain data is accurate, timely, and accessible for decision-making. Drive the automation of data collection and reporting processes to enhance operational efficiency.
• Advanced Analytics & Machine Learning: Oversee the application of machine learning algorithms, predictive analytics, and optimization models to forecast demand, optimize inventory management, improve production scheduling, and enhance distribution planning. Leverage advanced analytics to identify cost-saving opportunities, mitigate supply chain risks, and improve service levels.
• Supply Chain Optimization: Use data science techniques to solve key supply chain challenges such as demand forecasting, inventory optimization, capacity planning, logistics optimization, and supplier management. Provide actionable insights to drive efficiency and cost savings across the supply chain network.
• End-to-End Visibility: Ensure real-time, end-to-end visibility across the supply chain by developing advanced dashboards and reporting tools that track key performance metrics (KPIs), such as lead times, on-time delivery, cost-to-serve, and inventory turns.
• Collaboration & Cross-Functional Leadership: Partner with key stakeholders in operations, procurement, logistics, IT, and finance to ensure alignment on analytics objectives, data requirements, and KPIs. Influence senior leadership with data-backed recommendations that drive strategic decision-making across the organization.
• Data Governance & Quality Assurance: Establish data governance frameworks to ensure the quality, consistency, and accuracy of supply chain data across various systems. Oversee data management processes and ensure compliance with data privacy regulations.
• Team Leadership & Development: Build, lead, and mentor a high-performing team of data scientists, data analysts, and supply chain experts. Foster a culture of innovation, continuous improvement, and collaboration within the team to stay at the forefront of supply chain analytics.
• Continuous Improvement & Innovation: Stay up to date with the latest trends in data science, analytics, and supply chain technology. Identify opportunities for process improvements, automation, and digital transformation within the supply chain. Drive the adoption of AI, machine learning, and other emerging technologies to enhance supply chain capabilities.
• Project Management & Execution: Oversee the successful execution of analytics-driven projects, ensuring that key initiatives are delivered on time, within scope, and aligned with business objectives. Ensure that projects are scalable and can be implemented across the global supply chain network.

Key Skills & Qualifications:

• Experience: 10+ years of experience in data analytics, data science, or supply chain management, with at least 5 years in a leadership role driving analytics strategies within global supply chains. Strong experience in implementing analytics solutions at scale.
• Supply Chain Expertise: In-depth understanding of supply chain processes, including procurement, manufacturing, logistics, inventory management, demand forecasting, and distribution. Knowledge of key industry trends such as digital supply chain, IoT, and blockchain is a plus.
• Data Science & Advanced Analytics: Proven experience in applying data science and advanced analytics techniques, including machine learning, predictive analytics, optimization models, and simulation. Strong knowledge of data analytics tools (e.g., Python, R, SQL, TensorFlow, Spark) and machine learning frameworks.
• Data Management & BI Tools: Expertise in data integration, data warehousing, and business intelligence (BI) platforms (e.g., Tableau, Power BI, QlikView). Familiarity with ERP systems (e.g., SAP, Oracle) and supply chain management tools is preferred.
• Leadership & Cross-Functional Collaboration: Strong leadership skills with the ability to manage and mentor a team of data scientists and analysts. Proven ability to collaborate with cross-functional teams and influence decision-making at the executive level.
• Problem Solving & Strategic Thinking: Exceptional problem-solving and critical thinking skills, with the ability to turn complex data into actionable business insights. Experience developing and executing data-driven strategies that align with business goals.
• Communication Skills: Excellent communication skills, with the ability to clearly present complex data science concepts and analytical findings to non-technical stakeholders, including senior executives.
• Business Acumen: Strong understanding of business operations and the ability to translate data insights into practical recommendations that impact supply chain performance and the bottom line.
• Education: Bachelor’s or Master’s degree in Data Science, Supply Chain Management, Operations Research, Computer Science, Engineering, or a related field. An MBA or advanced degree is a plus.
• Certifications: Certifications in data science, machine learning, or supply chain management (e.g., APICS CPIM, Six Sigma, or similar) are preferred.

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.