Director, Supply Chain Business Intelligence

Posted: Thursday, 26 February 2026
Valid Thru: Saturday, 28 March 2026
Index Requested on: 02/26/2026 14:32:44
Indexed on: 02/26/2026 14:32:44

Location: Neenah, WI, 54956, US

Industry: Consumer Packaged Goods Manufacturing
Occupational Category: 51-0000.00 - Production
Type of Employment: FULL_TIME

Menasha Packaging is hiring!

Description:

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


Principal Accountabilities:

  • 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


Key Qualifications:

  • Experience: 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
  • Supply Chain Expertise: Strong end-to-end understanding of demand, supply, inventory, manufacturing, and logistics processe
  • Analytics & Modeling Skills: Advanced capability in descriptive, diagnostic, predictive, and prescriptive analytics, including scenario modeling and optimization
  • Planning Knowledge: Strong understanding of S& OP processes and how analytics supports executive decision-making
  • Certifications: Masters Degree in Data Science/APICS CPIM / CSCP preferred; Lean, Six Sigma, or analytics certifications strongly preferred
  • Systems & Tools: Highly proficient in Excel, BI tools (Power BI, Tableau, etc.), and supply chain systems; SAP experience required
  • Strategic Thinking: Ability to connect analytics to business strategy and operational execution
  • Business Partnership & Influence: Proven ability to influence stakeholders using data-driven insights
  • Communication Skills: Excellent ability to translate complex data into clear stories and recommendations
  • Leadership & People Development: Experience building and leading high-performing analytics teams
  • Problem-Solving Mindset: Curious, structured, and solutions-oriented; comfortable navigating ambiguity
  • Financial Acumen: Ability to quantify financial impact related to inventory, service, cost, and working capital


#MPC

#LI-HM1

Responsibilities:

Please review the job description.

Educational requirements:

  • high school

Desired Skills:

Please see the job description for required or recommended skills.

Benefits:

Please see the job description for benefits.

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