Senior Data Quality Lead

Requisition Number: 69304

 

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.

Are you passionate about driving organizational success through high-quality data? Do you thrive in dynamic environments where collaboration and innovation are key? Join our team as a Senior Data Quality Leader and play a pivotal role in shaping our enterprise-wide data quality strategy as part of a transformative data management initiative.

 

In this role, you will partner with cross-functional teams to establish data quality policies, standards, and improvement initiatives that empower better business performance, regulatory compliance, and data-driven decision-making.

 

As the Senior Data Quality Leader, you’ll:

• Define and lead our enterprise-wide data quality vision, standards, and framework, ensuring alignment with corporate objectives and regulatory requirements.
• Champion a federated data quality program that unites stakeholders across the organization under common KPIs and best practices.
• Serve as the enterprise authority on data quality, driving continuous improvement and fostering a data-driven culture.
• Lead the development and implementation of data quality monitoring tools, dashboards, and workflows to ensure visibility and accountability.
• Establish and track enterprise-wide data quality metrics, focusing on business impact, root cause analysis, and sustainable improvements.
• Facilitate recurring operational reviews with data owners, stewards, and business leaders to drive actionable results.
• Collaborate across teams to embed data quality standards into systems, workflows, and transformation projects (e.g., ERP migration).
• Lead training and change enablement initiatives to promote adoption of data quality standards.
• Document and maintain data quality policies, procedures, and definitions across platforms and domains.

 

Required Skills:

• Bachelor’s degree in Computer Science, Information Management, Business, or a related field; Master’s degree preferred.
• 7–10 years of experience in enterprise data quality management, data governance, or related disciplines, ideally in manufacturing, supply chain or R&D.
• Proven ability to lead data quality programs in complex, matrixed organizations.
• Strong understanding of data quality principles, KPIs, and profiling tools.
• Proficiency in data quality management tools and technologies.

 

Preferred Skills:

• Analytical mindset with the ability to translate data findings into actionable insights.
• Exceptional leadership and communication skills, with demonstrated success working with business and IT stakeholders.
• Experience managing multiple projects and priorities effectively.
• Experience with SAP S/4 HANA and integrating data quality into system migration programs.
• Familiarity with lean process improvement or Six Sigma methodologies.