Manager of Institutional Data Engineering

University of South Carolina; Columbia (SC); Sur place; USD 110 000 - 150 000; Plein temps

Avantages offerts par ce poste

Health and Life Insurance

Retirement Programs

Paid Tuition

Annual Leave

Sick Leave

Résumé du poste

University of South Carolina in Columbia seeks a Manager of Institutional Data Engineering to lead a team responsible for designing, developing, and optimizing the university's enterprise data infrastructure and data pipelines.

You will supervise engineers, enable reliable analytics, and advance data governance and data quality across multiple enterprise systems. A BS in a data-related field and SQL proficiency are required; higher education experience is valued.

Qualifications

• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Statistics, or related field.
• 1+ year of supervisory or managerial experience leading junior staff.
• Strong proficiency in ETL tools (IBM DataStorage, Informatica, SSIS) and BI tools (Cognos, Tableau, PowerBI).
• Proficient in SQL and relational databases (Oracle, SQL Server, PostgreSQL).
• Knowledge of data warehouse concepts and dimensional modeling.
• Excellent communication and collaborative skills.
• Experience in higher education or public sector data systems is a plus.

Responsabilités

• Lead, mentor, and develop a team of data engineers and architects.
• Provide scalable and reliable access to institutional data.
• Improve data accuracy, completeness, and consistency.
• Modernize the university's analytics capabilities.

Connaissances

Leadership

Problem-solving

Collaboration

Strategic vision

Formation

Bachelor's degree in Data Analytics/IS/CS

Outils

ETL tools (IBM DataStorage, Informatica, SSIS)

BI tools (Cognos, Tableau, PowerBI)

Description du poste

About UofSC

From the Upstate to the Lowcountry, 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.

Department:

IT Enterprise Applications

Part/Full Time:

Full Time

About UofSC

From the Upstate to the Lowcountry, 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.

Manager of Institutional Data Engineering

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.
• Provide scalable and reliable access to institutional data.
• Improve data accuracy, completeness, and consistency.
• Modernize the institution's analytics capabilities.

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.

Preferred Qualifications

Minimum Qualifications (Classified and Unclassified positions)

• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Statistics, or a related field.
• One (1) or more years of supervisory, managerial, coaching or mentoring experience leading junior colleagues or student workers.
• Strong proficiency in ETL tools (e.g., IBM DataStorage, Informatica, SSIS) and BI tools (e.g., Cognos, Tableau, PowerBI), including recommended configuration and security practices in hardware and cloud-based server environments.
• Strong proficiency in SQL for data querying, transformation, and optimization.
• Experience with relational databases such as Oracle, SQL Server, or PostgreSQL.
• Familiarity with data warehouse concepts and dimensional modeling.
• Strong analytical and problem-solving skills with keen attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment.
• Experience working in a higher education or public sector environment.
• Experience working with enterprise data systems (e.g., HR, Finance, Student Information, Learning Management) and large-scale institutional datasets.

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.

Job Close Date

11/05/2026

Benefits Package

The University of South Carolina offers a valuable benefits package including but not limited to:

• Health and Life Insurance
• Retirement Programs
• Paid Tuition
• Dependent Scholarships
• Annual Leave
• Sick Leave
• 13 Paid Holidays (including an extended December holiday)
• Paid Parental Leave
• Professional Development Opportunities

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.