Position Introduction:

Join OU Information Technology and be part of a team that advances the University of Oklahoma's purpose: We Change Lives. Our work supports student success, research innovation, operational excellence, and meaningful service to our university community. If you are driven to solve complex problems, strengthen critical systems, and use technology to create lasting impact across One OU, we invite you to bring your talent, curiosity, and commitment to a team where your work matters.

OU Information Technology is seeking a Data Architect to help shape and support the University's evolving enterprise data environment. This position will play a key role in the implementation and ongoing evolution of OU's Enterprise Data Warehouse, establishing the architecture, data models, standards, and patterns that bring together information across major university systems and business domains.

The Data Architect will work across technical and functional teams to define how enterprise data is structured, integrated, standardized, governed, and made available for reporting, analytics, data science, and emerging AI use cases. This role will serve as a technical design point of contact for the enterprise data environment, helping ensure that solutions developed today remain consistent, scalable, supportable, and reusable as OU's data capabilities continue to grow.

This is an opportunity for an experienced data professional to have a significant impact on the foundation of OU's enterprise data strategy while working with modern cloud data technologies and a broad range of institutional data.

View full job description

Required Education and Experience:

• Bachelor's degree in Computer Science, Information Systems, Data Science, Management Information Systems, Engineering, or a closely related field.
• 5 years of related experience.

Department Preferences:

• Experience designing enterprise data architectures across multiple systems and business domains.
• Experience developing enterprise, dimensional, and analytical data models.
• Experience with modern cloud data platforms.
• Experience establishing data architecture standards, conformed dimensions, and reusable data patterns.
• Experience with cross-system integration, identifiers, crosswalks, reference data, and Master Data Management concepts.
• Experience incorporating data governance, lineage, and data quality into technical architecture.
• Experience working with technical teams, functional stakeholders, and implementation partners in a large, complex organization.