Business Information Architect

Requisition Number: 73651

 

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 Human Resource (HR) Function provides an integrated talent management system that delivers a workforce that is Corning's competitive differentiator in the global marketplace.

HR provides service offerings that align solutions to business challenges by ensuring the programs are Effective, Efficient, Global, Scaleable, and Repeatable.  Corning’s Values are operationalized by the HR Function through the facilitation of Talent Management offerings, as well as programs and processes that aid in making Corning’s Values visible.

Role Purpose

The Business Information Architect is accountable for ensuring business meaning, data, systems, and processes are explicitly defined, aligned, and consistently applied across data domains and systems. This role collaborates with the HR Data Governance Director, Data Architects, IT Architects, and business stakeholders to ensure data architecture supports governance, analytics, and business objectives. The Business Information Architect focuses on establishing clear business vocabulary, definitions, and rules, and on creating data products that are valuable, usable, and trusted in analytical systems.

Location: Remote or Corning, NY

Key Responsibilities

• Ensure data, systems, and processes are aligned across data domains and systems.
• Collaborate with the HR Data Governance Director, Data Architects, and IT Architects to align data architecture with business definitions, data governance frameworks and IT strategies.
• Develop and maintain business concept models and vocabularies that define business meaning independent of systems and ensure appropriate alignment to downstream data models.
• Ensure data integrity, consistency, and accuracy across systems by defining clear business rules and validating their correct enforcement across systems.
• Define, document, and govern business terms, concepts, and definitions to ensure shared understanding across business and technology teams.
• Maintain traceability between business terms and business rules, and ensure they are correctly reflected in downstream data and system implementations
• Create and manage data products to be used in analytical systems, ensuring they are grounded in well-defined business concepts discoverable, reusable, and aligned with governance standards.
• Define data product characteristics, such as semantic consistency, data quality, accessibility, usability, scalability, and security.
• Provide guidance on data architecture best practices and standards.
• Collaborate with IT teams to ensure system and data solutions faithfully implement agreed upon business meaning and rules.

Experiences/Education - Required

• Bachelor's degree in computer science, information management, or a related field.
• Advanced degree preferred.

• Minimum of 7 years of experience in data architecture, data governance, or a related field.
• Proven experience in developing and implementing business-aligned data architecture solutions and managing data products.
• Demonstrate experience defining and governing business vocabulary, terms, and business rules in complex organizations.
• Strong understanding of the distinction between business meaning, business rules, and technical implementations.
• Strong understanding of data governance and data management principles.
• Ability to express business terms and rules using appropriate modeling or documentation techniques; familiarity with data modeling tools i