Supply Chain Analytics and Data Solutions Manager

Supply Chain Analytics and Data Solutions Manager

SEE Headquarters - Charlotte

Requisition

Requisition

Relocation:

No

Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance - a culture where accountability is clear and aligned, and where we reward business outcomes and impact.

That culture guides everything we do, including how we partner with our customers and suppliers, how we attract and retain top talent, and how we create and deliver value to our stakeholders. In 2025, Sealed Air generated $5.4 billion in sales and has approximately 16,100 employees who serve customers in 119 countries/territories. To learn more, visit

This role requires a systems and data-driven Supply Chain Analytics and Data Solutions Manager to support development, optimization, and governance of supply chain solutions. Will be responsible for designing and maintaining scalable data solutions to improve end-to-end supply chain processes as well as translating complex business needs into actionable insights and automated solutions.

This role is expected to evolve from backend databases and process support to a front-end analytics and reporting leader. As the organization transitions to SAP IBP and Microsoft Fabric, this position will play a critical role in migrating legacy data structures, modernizing reporting capabilities, and enabling advanced analytics across Planning and Operations.

• Own and Govern Supply Chain Analytics Solutions Maintain and enhance existing automated processes and reporting tools that support supply chain planning and execution, ensuring accuracy, scalability, and long‑term sustainability.
• Design and Optimize Analytical Platforms Evaluate, adapt, and expand data platforms to meet evolving supply chain requirements, while preserving the stability and performance of existing processes, reports, and integrations.
• Leverage SAP for Advanced Supply Chain Insights Develop expertise in the company's SAP landscape and data structures to design and implement automated, insight-driven solutions that address complex supply chain challenges.
• Translate Business Needs into Data-Driven Solutions Partner with planning, operations, and cross‑functional stakeholders to translate complex business requirements into actionable analytics, models, and system enhancements.
• Drive End-to-End Supply Chain Design & Improvement Support network design, inventory optimization, and planning process improvements by leveraging data analytics, scenario modeling, and continuous improvement methodologies.
• Collaborate with IT and Data Teams Partner with the Microsoft Fabric team to define and deliver scalable data and reporting solutions. Act as primary liaison between supply chain business teams and enterprise data teams.
• Govern KPI Reporting and Performance Metrics Own the design, standardization, and governance of critical supply chain KPIs, ensuring consistency, transparency, and alignment with leadership expectations.
• Enable Data-Driven Decision Making Deliver clear, actionable insights through dashboards, visualizations, and reporting that support strategic and operational decision‑making across the supply chain organization.
• Identify Automation and Efficiency Opportunities Continuously identify opportunities to streamline processes, reduce manual effort, and enhance analytical capabilities through automation and advanced tools.

• Data Management & SQL Proficiency Working knowledge of SQL and relational database concepts, with the ability to query, validate, and support existing data structures. Comfortable maintaining and optimizing legacy datasets while collaborating with data engineering teams to transition toward modern, scalable data platforms. Ability to understand data relationships and ensure data integrity in support of reporting…