Job Description: Director, IT - Enterprise Data & Analytics

Location: Neenah, WI (Menasha Headquarters)
Reports to: Sr. Director, IT Enterprise Applications

About Menasha Corporation

Menasha Corporation is a leading corrugated and plastic packaging manufacturer and supply chain solutions provider, with more than 175 years of history and operations across 108 locations in North America and Europe. Through our two primary businesses-Menasha Packaging (retail-focused packaging and merchandising solutions) and ORBIS Corporation (reusable plastic packaging and supply chain solutions)-we serve many of the world's largest consumer packaged goods and industrial companies.

Our IT organization is transforming to deliver business enablement platforms, smart manufacturing and SCM insight solutions, and advanced analytics, while ensuring operational excellence and cybersecurity. Key initiatives include an SAP S/4HANA RISE upgrade, data and analytics modernization, automation of core processes, and GenAI pilots driving business innovation

Role Overview

The Director, IT - Enterprise Data & Analytics will lead Menasha's efforts to unlock the full potential of enterprise data & analytics. This leader will define the strategy, architecture, and operating model to treat data as a strategic asset, while driving digital innovation across packaging and supply chain operations.

The role will be pivotal in enabling Menasha's Enterprise data & analytics in manufacturing and logistics, predictive SCM solutions, and data monetization opportunities.

As a member of the IT Senior Leadership Team reporting to the Director of Business Function(s), the Director will shape the enterprise-wide data strategy, and partner with functional leaders across Menasha Packaging and ORBIS to build a data-driven culture.

Key Responsibilities

Leadership & Strategy

• Define and execute Menasha's enterprise data and analytics vision aligned with corporate strategy and IT transformation roadmap.
• Serve as the enterprise champion for data and Analytics, building organizational literacy, shaping adoption, and influencing leaders to invest in data-driven initiatives.
• Drive a culture of innovation, building a funnel of data products and use cases to drive business functions insights, predictive supply chain analytics, intelligent product development, and customer experience insights.
• Serve as a senior IT leader contributing to overall Data & Analytics strategy, governance, resource allocation, and cross-enterprise initiatives.

Innovation & Value Creation

• Develop and lead a structured Data & Analytics framework for sourcing, prioritizing, and scaling Data and analytics opportunities.
• Enable data monetization strategies, leveraging Menasha's industry position, customer integration capabilities, and supply chain data to create new services.
• Partner with packaging and supply chain operations to embed AI/ML into core products, predictive maintenance, production scheduling, and logistics optimization.

Technical Leadership

• Build and oversee Menasha's enterprise data and Analytics platforms, ensuring scalability, reliability, and regulatory compliance.
• Define and implement enterprise data & analytics architecture, governance, and quality frameworks, integrated with SAP S/4HANA, AWS, AZURE, and other IT platforms.
• Deliver secure and high-performance data services that enable automation, analytics, IoT, and advanced AI/ML use cases.
• Partner with IT and business leaders to drive Data & Analytics initiatives in alignment with business objectives.
• Lead a team of data engineers, architects, and data scientists, while attracting and developing top talent.

Qualifications & Experience

• Demonstrated ability to influence senior business leaders, manage cross-functional programs, and build data-driven culture across enterprise.

• 10+ years of IT leadership experience, with 5+ years leading enterprise data, reporting & analytics in manufacturing or supply chain industries.
• Proven track record in data and Analytics transformation, from strategy to execution, in complex organizations.
• Experience in big data, predictive and prescriptive analytics, simulation, optimization, IoT, and AI/ML (including GenAI and causal AI).
• Experience with SAP data models, SAP S/4HANA, Azure/AWS cloud platforms, Power BI, ETL, and enterprise data warehouses/lakes.
• Strong understanding of manufacturing and supply chain operations, with experience applying data to demand planning, inventory optimization, logistics, quality, and production scheduling.
• Experience designing and managing data platforms supporting connected supply chain ecosystems.
• Demonstrated ability to influence senior business leaders, manage cross-functional programs, and build data-driven culture across enterprise.