Enterprise Data Architect , Digital Technology Solutions

Position: Enterprise Data Architect 3, Digital Technology Solutions
Job Description

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Job Title:

Enterprise Data Architect 3, Digital Technology Solutions

Posting

Start Date:

6/12/26

Work Arrangement:
Hybrid

Current UC employees must apply internally via Success Factors

Next Lives at the University of Cincinnati

Founded in 1819, the University of Cincinnati ranks among the nation's best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a physical setting The New York Times has called "the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference.

The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more .

UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC's success.

Job Overview

The Enterprise Data Architect is responsible for defining, governing, and advancing the enterprise data architecture needed to support trusted reporting, analytics, AI, institutional decision-making, operational systems, and digital transformation. This role establishes architectural direction for the university's modern data platform, including data integration patterns, medallion architecture, data modeling standards, metadata and lineage practices, data quality expectations, master/reference data patterns, and secure, scalable data product design.

The role explicitly includes architecture across major ERP and administrative systems, including Oracle/People Soft Catalyst SIS, SAP S/4

HANA / UC Flex HR-Finance, SAP Success Factors Employee Central, Workforce Central/timekeeping integrations, and related reporting and integration dependencies.

The role partners closely with data engineering, analytics, enterprise applications, ERP/SIS/CRM teams, Info Sec, data governance, institutional research, business stakeholders, and technology leadership to ensure data solutions are reliable, reusable, well-documented, secure, and aligned with enterprise strategy. The Enterprise Data Architect provides technical leadership across Snowflake, Informatica, cloud data services, APIs, SaaS platforms, Oracle and SAP data domains, Salesforce CRM, and emerging AI-ready data capabilities.

This is a hybrid position.

Essential Functions

* Define standards for naming, describing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching and delivering all data within the enterprise.

* Serve as liaison between governance and data consumer representatives and data solution development, integration teams.

* Inform and interpret data project sponsors.

* Understand how data is, or will be, used and implication on people, processes, products and technology.

* Provide framework, stewardship, governance and decision making for management of data for project development teams, business users and other stakeholders.

* Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision.

* Develop enterprise data management methodology and standards and promote to both technology and business throughout the company.

* Put processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata.

* Participate in developing consistent definitions for common reference data and master data management.

* Establish measures to chart progress related to completeness and quality of metadata for enterprise information, to support reduction of data redundancy and fragmentation, elimination of unnecessary movement of data,…