Requisition Number: 78274

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.  

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Role Purpose

The Data Quality Analyst helps ensure enterprise data is accurate, consistent, and reliable. This role partners with data stewards and business stakeholders to improve data quality, translate business needs into testable data rules, and support enterprise data governance and master data processes.

This position plays a key role in strengthening data quality practices, supporting Agile project activities, and enabling better business decisions through trusted data.

The role focuses on data quality and governance execution, process improvement and project leadership, and cross-functional collaboration.

Key Responsibilities

• Partner with data stewards and business stakeholders to identify, resolve, and prevent data quality issues.
• Translate business requirements and processes into clear, measurable, and testable data quality rules.
• Monitor data quality results, drive corrective actions, and escalate systemic issues through governance channels.
• Lead data quality improvement initiatives across global functions such as Supply Chain, Engineering, Pricing, Customer Care, PLM, Finance, and related teams.
• Lead Agile project activities, including planning sessions, workshops, sprint ceremonies, progress tracking, and stakeholder updates.
• Maintain project deliverables and Agile boards using Planview AgilePlace or similar tools.
• Develop and maintain governance documentation, data standards, policies, rule definitions, and master data process documentation.