Data Management Office Analyst

Requisition Number: 76548

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.  

Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with: 

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
• Precision glass for advanced displays to deliver richer experiences 
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation 
• Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

For our location in Budapest, Hungary, we are looking for a

Data Management Office Analyst

EMEA Dept./Division: Corning Shared Services – Finance

Purpose of Position

The job holder is responsible for supporting data quality governance activities within assigned systems, with primary emphasis on conducting data quality assessments and audits. The role helps ensure that critical data is accurate, complete, consistent, and compliant with governance standards. Working in close partnership with GPOs, IT, and business stakeholders, this position identifies data quality issues, supports remediation efforts, and contributes to the ongoing strengthening of data governance practices within the supported systems and for defined data elements, primarily financial master data.

Key Responsibilities

• Conduct regular data quality audits within assigned operational systems to identify data defects, control gaps, and areas of non-compliance

• Partner closely with CSS Ops Directors, GPOs, business stakeholders, IT, data owners, and DMO/governance teams to align priorities, resolve data issues, and establish sustainable DMO-related processes, documentation, and ways of working.

• Monitor and analyze data quality trend for in-scope data domains, including accuracy, completeness, consistency, timeliness, and adherence to rules defined by GPOs/business.

• Own, update and maintain Data Reporting Dashboard

• Identify, document, and track data quality issues, and coordinate with relevant stakeholders to support timely resolution

• Manage/Resolve tickets opened in ServiceNow related to data quality problems

• Review and ensure correctness of data load files in case of projects, before the actual data load

• Support the implementation and maintenance of enterprise data governance policies, standards, and stewardship practices within assigned systems and in -scope data elements

• Prepare and communicate audit findings, issue summaries, and remediation status updates to DMO organization, GPOs and other relevant stakeholders

• Maintain accurate and accessible documentation related to data steward procedures, controls, and audit results

• Support metadata management, lineage transparency, and cataloging activities in alignment with enterprise standards

• Provide system-specific guidance and support to master data team to promote awareness of data quality expectations and good stewardship practices

• Contribute to training and knowledge-sharing activities related to system-level data governance practices and tools

Background and Experience

• Bachelor’s degree in information systems, Business, Data Management, Computer Science, or a related field, or equivalent practical experience

• 3–7 years of experience in data governance, data quality, analytics, or business systems roles

• Hands-on experience supporting data quality management and stewardship across ERP and operational systems such as SAP, Oracle, or PeopleSoft

• Experience conducting data quality assessments, audits, control reviews, or related data validation activities

• Proficiency in SQL or similar tools to validate, analyze, and troubleshoot data issues

• Strong collaboration and communication skills, with the ability to work effectively across business, analytics, and IT teams

Skills and Abilities

• Strong analytical and problem-solving skills

• Ability to interpret data quality findings and translate them into clear actions and stakeholder follow-up

• Strong attention to detail and ability to work with a high degree of accuracy

• Ability to collaborate effectively with cross-functional teams in a matrixed environment

• Experience documenting rules, controls, and issue resolution activities in a structured manner

• Familiarity with data privacy, compliance, and regulatory expectations relevant to the supported domain

• Experience with data integration and data migration projects is an advantage

• Process Optimization: Experience or interest in leveraging automation tools (e.g., RPA) and driving process improvements

• Digital Mindset: A natural curiosity for learning and leveraging new technologies.

• Experience working in a federated data governance model is an advantage

• Certification in data governance, data quality, or process improvement (e.g., DAMA CDMP, GreenBelt) is a plus

• Experience with data visualization tools is a plus

Personal Characteristics

• Strong sense of ownership and accountability

• Proven success working in a highly matrixed environment

• Continuous improvement mindset and willingness to challenge data quality issues constructively

• Strong relationship-building and stakeholder management skills

Criteria for Performance Evaluation

• Completion of planned data quality assessments and audits within established timelines

• Quality and consistency of audit documentation and issue tracking

• Timeliness of data issue identification, escalation, and follow-up

• Reduction in recurring data quality issues within supported systems

• Adherence of supported systems and in-scope data elements (Financial master data) to enterprise data governance standards and controls