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Manager of Institutional Data Engineering

Job in Spartanburg, Spartanburg County, South Carolina, 29302, USA
Listing for: South Carolina DDSN
Full Time, Part Time position
Listed on 2026-09-28
Job specializations:
  • IT/Tech
    Data Science Manager, Data Engineering, Business Systems & Technology Analysis, IT Project Manager
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Manager of Institutional Data Engineering Department: IT Enterprise Applications Advertised Salary Range:
Part/Full Time:
Full Time

About UofSC

From the Upstate to the Low country, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning.

All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.

Advertised

Job Summary

Shape the Future of Data Analytics at One of America's Most Beautiful Campuses Join the University of South Carolina in Columbia, the vibrant capital city of one of the fastest-growing states in the nation. As we revolutionize our digital landscape, we are seeking an experienced manager to join our Analytics and Data Governance team within the Division of Information Technology. Help us transform South Carolina's flagship campus into a nationally recognized hub for innovation and data-driven excellence.

This is an opportunity to lead a technical team, make a meaningful difference while working with evolving technologies, and solve challenging problems in a collaborative environment. The Manager of Institutional Data Engineering serves as the lead data engineer responsible for designing, developing, maintaining, and optimizing the University's enterprise data infrastructure, integration processes, and analytical data environments. This role supervises a technical team who are responsible for integrating data from multiple enterprise systems, developing and maintaining data pipelines, supporting data quality and governance initiatives, and enabling reliable institutional analytics and reporting for the University of South Carolina and its extended campuses.

Key Responsibilities
  • Lead, mentor, and develop our team of data engineers and architects.
What We're Looking For
  • Strong leadership, problem-solving, and collaboration skills.
  • Demonstrated experience leading data analytics and institutional research programs or projects.
  • Brings strategic vision and operational excellence to IT service delivery.
  • Thrives in a collaborative culture where curiosity and innovation are valued.
Why Join Us?
  • Join a collaborative team that supports innovation and service-oriented technology solutions.
  • Solve data challenges that have meaningful institutional and system-wide impacts.
  • Help shape the university's analytics capabilities, data-informed culture, and institutional decision-making.
Perks of the University of South Carolina
  • Join a major public research university with opportunities to work on complex, meaningful technology and data initiatives.
  • Collaborate with talented professionals across the university system.
  • Enjoy a professional environment that emphasizes innovation, continuous learning, collaboration, and technical excellence.
  • Work in a role that offers opportunities to contribute to the strategic and operational success of the university.
Knowledge/Skills/Abilities
  • Knowledge of higher education data structures, business processes, and institutional research methodologies.
  • Ability to supervise and lead individuals with varied skillsets to work together as a team.
  • Ability to follow directions and communicate effectively with colleagues and supervisors. Collaborate across distributed, cross-functional teams.
Preferred…
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