Manager, Supply Chain Data & Analytics

Rich Products CorporationBuffalo, NV
$104,034 - $156,051

About The Position

We are seeking a Supply Chain Data & Analytics Manager to lead the strategy & execution of analytics across Rich’s global supply chain functions. A successful leader will support their team’s innovation of advanced insights generation, global descriptive analytics, data modeling & governance, and AI deployment. Additionally, they serve as a liaison between supply chain functional stakeholders, enabling data-driven decision making through self-service tools. The ideal leader is fluent in current data & analytics practices, especially applied in a supply chain environment. They have exceptional critical thinking skills & an ability to simplify complex situations to industry & non-industry alike.

Requirements

  • Degree (master’s preferred) in analytical field (e.g., Data & Analytics, Computer Science, Engineering, Supply Chain, Operations Research, Information Systems, etc.)
  • 7+ years’ of progressive experience in supply chain analytics, data analytics or business intelligence with previous hands-on experience in a technical role
  • A proven track record of servant people leadership & effective team coaching for analysts, data engineers, supply chain experts, and/or business intelligence analysts
  • Technical expertise in supply chain data & industry metrics, AI skill development, data visualization tools (Power BI, Tableau, etc.) for descriptive & insights analytics, and statistical applications
  • Expertise in data governance, data modeling, data management, & best practice coaching

Responsibilities

  • Lead & coach a team of 6 high-performing analysts located around the world
  • Collaborate with functional stakeholders to identify, design, & implement advanced analytical tools
  • Champion a data-driven culture by deploying business insights, shifting from descriptive to predictive or prescriptive analytics
  • Design & execute processes for scenario modeling & simulations to support IBP, capacity planning, etc.
  • Partner with IT & external vendors to create & implement AI insights generation
  • Lead onboarding of global supply chain functions to a centralized analytics environment
  • Support global deployment of SAP S4/HANA & Blue Yonder & a supply chain end-to-end control tower
  • Establish & coach best practices to entire supply chain analyst community
  • Drive sustainable supply chain optimization productivity improvements, aiding the achievement of our annual global savings targets
  • Prioritize high value opportunities utilizing agile monthly sprint process, keeping stakeholders informed of progress
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