Edtech.com's Summary

University of South Carolina is hiring a Manager of Institutional Data Engineering to serve as lead data engineer for the university's enterprise data infrastructure, integration processes, and analytical data environments. The manager supervises a technical team building data pipelines and integrations across enterprise systems, and works with the Director of Institutional Data Analytics to modernize the university's analytics capabilities. The role also leads data quality, governance, and system maintenance efforts for institutional reporting.

Highlights

Architect, develop, and maintain enterprise data pipelines, ETL/ELT processes, and system integrations.
Supervise, mentor, and evaluate a team of data engineers and architects.
Develop and optimize enterprise data models, data warehouses, and curated datasets for institutional reporting.
Implement data validation, reconciliation, and quality-assurance processes to ensure data accuracy.
Maintain and support enterprise data platforms, reporting databases, and integration environments.
Coordinate change management, backup procedures, and disaster recovery for institutional data systems.
Partner with institutional research, IT, academic units, and administrative offices to translate business needs into data solutions.
Research and recommend emerging technologies to enhance analytics and data management capabilities.
Requires a bachelor's degree in a job-related field and 5+ years of job-related experience; proficiency in SQL, ETL tools, and relational databases (Oracle, SQL Server, PostgreSQL) preferred.
On-site role in Columbia, SC, five days a week, with an anticipated hiring range starting at $97,329 (market range up to $150,860) and benefits including health/life insurance, retirement, paid tuition, and 13 paid holidays.

Manager of Institutional Data Engineering Full Description

Manager of Institutional Data Engineering

Please see Special Instructions for more details.

Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.

We are only accepting applications submitted by November 5, 2026.

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

Click here to learn more about why you should work at USC.

Posting Details

Logo

Posting Number STA00698PO26

Job Family Operational Analysis

Job Function Business Intelligence

USC Market Title Director, Data Engineering

Link to USC Market Title https://uscjobs.sc.edu/titles/212431

Job Level M4 - Managerial

Business Title (Internal Title) Manager of Institutional Data Engineering

Campus Columbia

Work County Richland

College/Division Division of Information Technology

Department IT Enterprise Applications

State Pay Range T08

USC Market Range MRL - $97,329 $124,095 $150,860

Anticipated Hiring Range $97,329 - Salary is commensurate with experience

Location of Vacancy On-site in Columbia, SC

Part/Full Time Full Time

Hours per Week 37.5

Work Schedule Standard working schedule: Monday – Friday 8:30am – 5:00pm, with 1 hour for lunch. Must be willing to work a flexible schedule to meet the needs of the Division of IT.

Must be willing to work a flexible schedule to meet the needs of the Division of IT.

Basis 12 months

Job Search Category Information Technology

About University of South Carolina 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.

Veterans' Preference Statement The University of South Carolina is committed to equal opportunity and proudly values the skills and experience military veterans bring to our workforce. Across South Carolina, we are making veterans a priority for employment and recognize their vital contributions to our state and our communities.

The University of South Carolina (USC), through the State of SC and Public Employee Benefit Authority (PEBA), offers employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding.

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. K ey 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.

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. K ey 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.

Job Related Minimum Required Education and Experience Requires a bachelor’s degree in a job-related field and 5 or more years of job-related experience, which may be substituted by an equivalent combination of job-related certification, training, education, and/or experience.

Required Certification, Licensure/Other Credentials

Preferred Qualifications 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.

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.

Ability to follow directions and communicate effectively with colleagues and supervisors. Collaborate across distributed, cross-functional teams.

Job Duty Management & Technical Leadership Supervise, mentor, and evaluate direct reports within the Analytics and Data Governance team in the Division of Information Technology. Work with the Director of Institutional Data Analytics to promote professional development and foster a culture of innovation, collaboration, continuous learning, and technical excellence. Serve as the lead data engineer, working with the Director and direct reports to design, develop, and maintain enterprise data pipelines, ETL / ELT processes, and system integrations, and automated workflows supporting institutional reporting and analytics. Develop and optimize enterprise data models, data warehouses, curated datasets, and database objects that provide scalable, secure, and reliable access to institutional data. Create and optimize database objects, views, stored procedures, and integration solutions to improve system performance and scalability. Monitor and enhance data architecture to ensure efficient and reliable access to institutional data. Support integration of data across the Columbia campus and university system institutions to promote consistency and comparability of reporting

Supervise, mentor, and evaluate direct reports within the Analytics and Data Governance team in the Division of Information Technology.
Work with the Director of Institutional Data Analytics to promote professional development and foster a culture of innovation, collaboration, continuous learning, and technical excellence.
Serve as the lead data engineer, working with the Director and direct reports to design, develop, and maintain enterprise data pipelines, ETL / ELT processes, and system integrations, and automated workflows supporting institutional reporting and analytics.
Develop and optimize enterprise data models, data warehouses, curated datasets, and database objects that provide scalable, secure, and reliable access to institutional data.
Create and optimize database objects, views, stored procedures, and integration solutions to improve system performance and scalability.
Monitor and enhance data architecture to ensure efficient and reliable access to institutional data.
Support integration of data across the Columbia campus and university system institutions to promote consistency and comparability of reporting

Essential Function Yes

Percentage of Time 30

Job Duty Data Quality and Integrity Implement data validation, reconciliation, and quality assurance processes to ensure the accuracy, completeness, and consistency of institutional data. Identify, investigate, and resolve data discrepancies across source systems, reporting environments, and analytical datasets. Develop automated monitoring processes and exception reporting to proactively detect data quality issues. Collaborate with data stewards and functional offices to establish and maintain data standards and business rules. Support institutional efforts to improve enterprise data governance and data stewardship practices. Maintain system documentation, process documentation, and technical specifications.

Implement data validation, reconciliation, and quality assurance processes to ensure the accuracy, completeness, and consistency of institutional data.
Identify, investigate, and resolve data discrepancies across source systems, reporting environments, and analytical datasets.
Develop automated monitoring processes and exception reporting to proactively detect data quality issues.
Collaborate with data stewards and functional offices to establish and maintain data standards and business rules.
Support institutional efforts to improve enterprise data governance and data stewardship practices.
Maintain system documentation, process documentation, and technical specifications.

Job Duty System Maintenance and Support Maintain and support enterprise data platforms, reporting databases, and data integration environments. Monitor system performance, troubleshoot issues, and implement corrective actions to ensure reliability and availability. Perform routine maintenance, upgrades, testing, and deployment activities for data infrastructure and integration processes. Respond to technical support requests related to institutional reporting and analytics systems. Work with the Director to coordinate change management practices, backup procedures, disaster recovery, and business continuity planning related to institutional data systems.

Maintain and support enterprise data platforms, reporting databases, and data integration environments.
Monitor system performance, troubleshoot issues, and implement corrective actions to ensure reliability and availability.
Perform routine maintenance, upgrades, testing, and deployment activities for data infrastructure and integration processes.
Respond to technical support requests related to institutional reporting and analytics systems.
Work with the Director to coordinate change management practices, backup procedures, disaster recovery, and business continuity planning related to institutional data systems.

Percentage of Time 20

Job Duty Service Innovation Research, evaluate, and recommend emerging technologies, tools, and methodologies that enhance institutional analytics and data management capabilities. Identify opportunities to automate manual processes and improve operational efficiency. Participate in the development of innovative reporting, dashboarding, and self-service analytics solutions. Support modernization initiatives involving cloud technologies, advanced analytics, and data platform enhancements. Contribute to continuous improvement efforts that increase the effectiveness of institutional data services.

Research, evaluate, and recommend emerging technologies, tools, and methodologies that enhance institutional analytics and data management capabilities.
Identify opportunities to automate manual processes and improve operational efficiency.
Participate in the development of innovative reporting, dashboarding, and self-service analytics solutions.
Support modernization initiatives involving cloud technologies, advanced analytics, and data platform enhancements.
Contribute to continuous improvement efforts that increase the effectiveness of institutional data services.

Percentage of Time 10

Job Duty Collaboration and Requirements Gathering Partner with institutional research, information technology, academic units, administrative offices, and campus stakeholders to understand business needs and reporting requirements. Participate in cross-functional project teams and working groups focused on institutional data initiatives. Translate functional requirements into technical specifications and data solutions. Provide consultation and technical guidance regarding data availability, structure, and reporting capabilities. Support training and knowledge-sharing activities related to institutional data resources.

Partner with institutional research, information technology, academic units, administrative offices, and campus stakeholders to understand business needs and reporting requirements.
Participate in cross-functional project teams and working groups focused on institutional data initiatives.
Translate functional requirements into technical specifications and data solutions.
Provide consultation and technical guidance regarding data availability, structure, and reporting capabilities.
Support training and knowledge-sharing activities related to institutional data resources.

Percentage of Time 5

Job Duty Other Duties Perform other duties assigned by the AVP for IT Enterprise AI, Data, and Research Computing or your supervisor in order to support the strategic and operational needs of the division, university, and university system. Participate in professional development activities and maintain awareness of emerging trends, regulations, and recommended practices. Support university committees, working groups, special projects, system-wide initiatives, and executive requests as needed.

Perform other duties assigned by the AVP for IT Enterprise AI, Data, and Research Computing or your supervisor in order to support the strategic and operational needs of the division, university, and university system.
Participate in professional development activities and maintain awareness of emerging trends, regulations, and recommended practices.
Support university committees, working groups, special projects, system-wide initiatives, and executive requests as needed.

Employees in Safety-Sensitive or Security-Sensitive positions will be subject to pre-employment and post-employment drug testing in accordance with University policy HR 1.95 Drug and Alcohol Testing.

Safety Sensitive or Security Sensitive No

Hazardous weather category Non-Essential

Number of Vacancies 1

Desired Start Date

Job Open Date 09/21/2026

Job Close Date 11/05/2026

Open Until Filled No

Special Instructions to Applicant Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by November 5, 2026. 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 Click here to learn more about why you should work at USC .

Quicklink for Posting https://uscjobs.sc.edu/postings/213369

EEO Statement The University of South Carolina does not discriminate in employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender, gender identity or expression, genetic information, military status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any other protected category under applicable law.

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Manager of Institutional Data Engineering

Edtech.com's Summary

Manager of Institutional Data Engineering Full Description

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