Supply Chain Solutions Sr Super User
Listed on 2026-01-19
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IT/Tech
Data Analyst, Systems Engineer
Supply Chain Solutions Sr Super User
Date: Jan 10, 2026
Location: Charlotte, NC, US, 28216
Hickory, NC, US, 28601
Concord, NC, US, 28026
Wilmington, NC, US, 28405
Company: Corning
Requisition Number: 72134
Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
How do we do this? With our people. They break through limitations and expectations– not once in a career, but every day. They help move our company,and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.
This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
Ensure the optimal configuration and customization of the supply planning system, enabling flexibility and agility in planning processes. The Supply Chain Solutions Sr Super User will act as a key liaison between the supply chain business teams and the IT department, providing advanced system support, driving continuous improvement, and ensuring that the planning system aligns with evolving business needs to deliver value globally.
Key Responsibilities- Customize system fields, workflows, and parameters to meet evolving business needs.
- Collaborate with supply chain business teams to implement custom reports, dashboards, and system views for better visibility and decision-making within advanced supply chain systems.
- Track system usability metrics, perform root cause analysis and propose solutions to ensure system continues to deliver value.
- Maintain and configure master data to reflect real-time operational changes.
- Work closely with Analysts & IT to ensure that system changes align with overall architecture and security policies.
- Monitor system performance and proactively suggest optimizations to improve system response times, accuracy, or planning efficiency.
- Identify opportunities for automation within the system and collaborate with IT to implement these improvements.
- Support patches, upgrades, and integrations w/ other enterprise applications (e.g., ERP, MES, WMS, Data Lake).
- Support System implementation with data validation, system testing and defect resolution
- Support SMEs to ensure changes globally align with standards and share best practices.
- Lead global configuration initiatives leveraging Agile methodologies.
- Serve as the bridge between business users and IT, translating business needs into technical requirements.
- Support Super User team members with coaching and advanced configuration expertise.
- Other tasks as outlined by management
- Bachelor’s degree in Supply Chain Management, Information Systems, Industrial Engineering, or related field
- Minimum 4 years of experience enabling supply chain planning and procurement in manufacturing environments
- Strong understanding of ERP systems like SAP ECC & S/4 Hana or similar
- Strong analytical skills and the ability to interpret complex data and user stories
- Proficiency in using APIs for data exchange
- Familiarity with Agile or Dev Ops methodologies
- Understanding of data governance for supply chain systems
- Advanced knowledge of workflows and parameters in Kinaxis Maestro
- Understanding of prompt engineering, fine-tuning, and leveraging Machine Learning models (e.g., Generative AI, Agentic AI, LLMs)…
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