Director, Supply Chain Business Intelligence

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ABOUT US (AND OUR EXCITING FUTURE)

Menasha Corporation is all about possibilities. Our two businesses, Menasha Packaging and ORBIS Corporation, are leaders in their industries, providing corrugated and plastic packaging products and related services to major global companies.

Our employees make the difference, proving that great ideas, collaboration and quality turn possibilities into success. Working at Menasha Corporation means that your insights provide cutting-edge solutions for our customers. If you like to make things happen and are passionate about what you do, you’re going to want to be here.

Join us and become part of the power behind possible.

About The Opportunity

The Supply Chain Business Intelligence Director leads the strategy, development, and execution of advanced analytics, data governance, and digital enablement across the end-to-end supply chain. This role transforms data into actionable insights that improve service, cost, inventory, resilience, and decision-making across demand, supply, manufacturing, procurement, and logistics.
High-quality analytics are critical to enabling fact-based planning, proactive risk management, and continuous improvement. The Supply Chain BI Director serves as the enterprise expert in supply chain analytics, data architecture, performance management, and advanced modeling, partnering closely with Supply Chain leadership, Finance, IT, and Commercial teams.

1. Supply Chain Analytics Strategy & Governance

• Define and own the supply chain analytics strategy aligned with business objectives

• Partner with IT to establish data governance, standards, and best practices for supply chain reporting and analytics

• Ensure consistency, accuracy, and usability of supply chain data across functions

• Develop analytics roadmaps to support growth, resilience, and digital transformation

 

2. Performance Management & KPI Frameworks

• Partner with SC lead team to define and visualize enterprise supply chain KPIs (service, inventory, cost, productivity, etc.)

• Develop executive dashboards and performance reporting for senior leadership

• Enable visibility into drivers of service level, inventory turns, DOS, and working capital

• Partner with Finance to align operational metrics with financial performance

3. Advanced Analytics, Modeling & Insights

• Lead development of predictive and prescriptive analytics for demand, supply, inventory, and capacity

• Build scenario models to assess trade-offs, risks, and mitigation strategies

• Support S&OP with data-driven insights, what-if analysis, and supply-demand balance modeling

• Translate complex analytics into clear, actionable recommendations

4. Inventory, Service & Cost Optimization Analytics

• Provide analytical leadership for inventory optimization, safety stock, and lifecycle management

• Identify drivers of excess, slow-moving, and obsolete inventory

• Quantify service impacts of supply constraints and planning decisions

• Support initiatives to improve inventory turns, service performance, and total supply chain cost.

5. Data, Systems & Digital Enablement

• Own supply chain data integrity across ERP and planning systems (SAP, planning software, Visualization Engines)

• Drive adoption and optimization of BI tools, analytics platforms, and automation

• Partner with IT on system implementations, upgrades, and data architecture

• Ensure integration across demand, supply, inventory, manufacturing, logistics, and finance data.

 

6. Risk Analytics & Supply Chain Resilience

• Develop analytics to identify supply risks, bottlenecks, and vulnerabilities

• Enable early-warning indicators and exception-based reporting

• Support contingency planning with data-driven risk assessments

• Strengthen resilience through visibility, simulation, and scenario analysis

7. Continuous Improvement & Analytics Enablement

• Apply Lean, Six Sigma, and advanced analytics techniques to improve supply chain processes

• Standardize analytical methods and self-service reporting where appropriate

• Benchmark analytics maturity against industry best practices

• Drive a culture of data-driven decision-making across the organizati