Manufacturing Data Governance Lead

Manufacturing Data Governance Lead

** Date:
** Jul 9, 2026

*
* Location:

** Newton, NC, US, 28658

** Company:
** Corning

Requisition Number: 75953

** The company built on breakthroughs. ​ *
* ** Join us.​ *
* 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.

** Role Purpose*
* Corning's Cables Division is building its manufacturing data governance program from the ground up - and this role is at the center of it. As the Manufacturing Data Governance Manager, you'll define and operationalize data standards, master data management, and data quality across eight manufacturing sites in North America and Europe. Reporting to the Senior Manager of Digital Transformation, you'll ensure every analytics, digital, and AI initiative the division builds is grounded in a clean, consistent, and governed data foundation.

** Key Responsibilities*
* + Define and maintain the Cables Division manufacturing data governance framework, including standards, policies, stewardship models, ownership roles, and quality metrics

+ Lead PI System tag naming convention standardization and remediation across all sites in partnership with Division Engineering

+ Drive Manufacturing Execution System (MES) configuration harmonization with central IT and plant operations teams

+ Establish standardized Key Performance Indicator (KPI) definitions, calculations, and data lineage for division-level reporting

+ Define and govern manufacturing master data - product, equipment, line, and process - in coordination with corporate Enterprise Resource Planning (ERP) data teams

+ Serve as the business owner of manufacturing data standards; partner with IT platform owners across PI, MES, data lake, and Business Intelligence (BI) tools

+ Support digital and analytics initiatives as a data governance reviewer; ensure new solutions align with division standards and contribute to a shared, scalable data foundation

** Experiences/Education - Required*
* + Bachelor's degree in Engineering, Information Technology, Computer Science, Data Management, or a related field - or equivalent combination of education and experience

+ 7+ years of experience in manufacturing data, manufacturing IT, or data governance roles, with meaningful experience in a multi-plant manufacturing environment

+ 1+ years of working knowledge of PI System (OSIsoft/AVEVA), including asset framework and tag conventions

+ 1+ years of working knowledge of MES platforms (Camstar/Opcenter or equivalent) and their data structures

+ Experience defining and operating data governance programs, including standards, stewardship, quality monitoring, and data lineage

+

Experience with master data management concepts and practices in a manufacturing context

+ Working knowledge of SQL, data lakes, and BI/analytics platforms (Power BI, Tableau, or equivalent)

+ Demonstrated ability to drive cross-site standardization across multiple…