Director, Supply Chain Business Intelligence

Menasha Corporation • Neenah, WI

21h

About The Position

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 organization 8. Leadership & Stakeholder Collaboration Build, lead, and develop high-performing supply chain analytics teams Coach and mentor talent to strengthen analytical and storytelling capabilities Act as a strategic analytics partner to Supply Chain, Finance, IT, and Executive Leadership Communicate insights, risks, and recommendations clearly to senior stakeholders

Requirements

• 10+ years of progressive experience in supply chain analytics, data science, or supply chain planning, with 5–7 years in people and analytics leadership roles
• Strong end-to-end understanding of demand, supply, inventory, manufacturing, and logistics processe
• Advanced capability in descriptive, diagnostic, predictive, and prescriptive analytics, including scenario modeling and optimization
• Strong understanding of S&OP processes and how analytics supports executive decision-making
• Highly proficient in Excel, BI tools (Power BI, Tableau, etc.), and supply chain systems; SAP experience required
• Ability to connect analytics to business strategy and operational execution
• Proven ability to influence stakeholders using data-driven insights
• Excellent ability to translate complex data into clear stories and recommendations
• Experience building and leading high-performing analytics teams
• Curious, structured, and solutions-oriented; comfortable navigating ambiguity
• Ability to quantify financial impact related to inventory, service, cost, and working capital

Nice To Haves

• Masters Degree in Data Science/APICS CPIM / CSCP preferred
• Lean, Six Sigma, or analytics certifications strongly preferred

Responsibilities

• Data-Driven Decision Enablement – Provide actionable insights to improve supply chain outcomes
• Performance Visibility – Deliver clear, consistent, and trusted supply chain metrics
• Inventory & Working Capital Analytics – Support optimal inventory investment decisions
• S&OP Analytics Effectiveness – Enable fact-based executive planning decisions
• Risk & Resilience Analytics – Proactively identify and quantify supply chain risks
• Continuous Improvement Impact – Drive measurable improvements through analytics
• Systems & Data Excellence – Ensure robust data foundations and analytics tools

What This Job Offers

• Job Type: Full-time
• Career Level: Director