Senior Manager, Institutional Data Engineering

University of South Carolina; Columbia (SC); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health and Life Insurance

Retirement Programs

Paid Tuition

Annual Leave

Sick Leave

Job summary

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.

Responsibilities

• 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.

Skills

Leadership

Problem-solving

Collaboration

Strategic vision

Education

Bachelor's degree in Data Analytics/IS/CS

Tools

ETL tools (IBM DataStorage, Informatica, SSIS)

BI tools (Cognos, Tableau, PowerBI)

Job description

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.