Manager, Supply Chain and Logistics

Quality Technology ServicesIrving, TX
4d

About The Position

QTS Data Centers is building out its supply chain capabilities to better support rapid growth. We are seeking an experienced and dynamic Manager, Supply Chain Analytics, to lead and manage a team of data analysts for supply chain and logistics operations. In this role, you will be responsible for data analytics, process optimization, and cross-functional collaboration to drive improvements in forecasting, inventory management, logistics, procurement, and overall supply chain efficiency. The manager will oversee analytical tools, dashboards, models, and data governance processes while partnering with business leaders to turn insights into actionable strategies. ESSENTIAL DUTIES AND RESPONSIBILITIES - Other duties may be assigned. Team Leadership and Development: Lead a team of data analysts, providing guidance, mentorship, and professional development. Foster a collaborative, high-performance culture focused on results and continuous improvement. Analytics & Insights: Analyze trends in demand, supply, inventory, transportation, and supplier performance to identify risks and opportunities. Perform root-cause analysis for service disruptions, forecast inaccuracies, and cost variances. Provide scenario modeling and simulations to support strategic decision-making. Translate complex data insights into clear, actionable recommendations for leadership. Supply Chain and Project Management: Manage and oversee multiple projects simultaneously, ensuring all supply chain analytics activities are executed on time, within budget, and in line with company objectives. Collaborate with cross-functional teams to align logistics and supply chain strategies with broader business goals. Process Optimization: Work with your team to analyze and continuously improve supply chain analytics workflows and processes, focusing on maximizing efficiency, reducing lead times, and minimizing costs.

Requirements

  • Bachelor’s degree in Data Analytics, supply chain management, Industrial Engineering, Operations Research, Business, or related field.
  • Minimum of 5 years of experience in supply chain analytics, demand planning, operations, or related roles, with at least 3 years in a leadership role managing teams.
  • Proven experience leading teams to successfully complete complex projects and achieve operational goals.
  • Proficiency in data visualization tools (Power BI, Tableau, Palantir, Qlik).
  • Strong SQL and data extraction skills; experience with cloud data platforms (e.g., Snowflake, AWS, Azure).
  • Strong knowledge of warehouse management systems (WMS), supply chain software (e.g., SAP, Oracle).
  • Advanced proficiency with Excel; experience with Python or R preferred.
  • Exceptional leadership and team-building skills with the ability to motivate and guide teams towards achieving business objectives.

Nice To Haves

  • Experience or familiarity with data center design and construction is advantageous.
  • Master’s degree in data analytics, supply chain management, Logistics, or a related field.
  • Experience with international supply chains and multi-location warehouse operations.

Responsibilities

  • Lead a team of data analysts, providing guidance, mentorship, and professional development.
  • Foster a collaborative, high-performance culture focused on results and continuous improvement.
  • Analyze trends in demand, supply, inventory, transportation, and supplier performance to identify risks and opportunities.
  • Perform root-cause analysis for service disruptions, forecast inaccuracies, and cost variances.
  • Provide scenario modeling and simulations to support strategic decision-making.
  • Translate complex data insights into clear, actionable recommendations for leadership.
  • Manage and oversee multiple projects simultaneously, ensuring all supply chain analytics activities are executed on time, within budget, and in line with company objectives.
  • Collaborate with cross-functional teams to align logistics and supply chain strategies with broader business goals.
  • Work with your team to analyze and continuously improve supply chain analytics workflows and processes, focusing on maximizing efficiency, reducing lead times, and minimizing costs.
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