Director, Enterprise Applications & Banner ERP

Texas A&M University; Prairie View, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Texas A&M University’s Prairie View campus is seeking a Director of Information Technology for Enterprise Applications. You will lead the planning, delivery and modernization of the PVAMU enterprise application portfolio, including Ellucian Banner ERP and related platforms, reporting to the CIO.

The role emphasizes governance, data strategy, security and continuity, with oversight of internal staff and MSPs, driving automation, AI exploration, and collaboration with academic and administrative

Qualifications

• Bachelor’s degree in Computer Science or equivalent combination of education and experience.
• Ten years of related IT experience.
• Two years of supervisory experience.

Responsibilities

• Develop and govern the enterprise application roadmap aligned with CIO priorities.
• Lead Ellucian Banner ERP operations, upgrades, and integrations with connected systems.
• Manage BI, analytics, data strategy, and data quality controls across enterprise data sources.
• Coordinate application security, compliance, and disaster recovery in partnership with Information Security.
• Oversee vendor/MSP relationships and the enterprise application project portfolio.

Skills

Word processing & spreadsheets

Multitasking

Clear communication

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Ellucian Banner ERP

Banner modules (DegreeWorks, Recruiter, Self-Service Banner)

Banner APIs & Ethos Platform

Operational Data Store

Data governance & BI tools

Job description

Texas A&M University’s Prairie View campus is seeking a Director of Information Technology for Enterprise Applications. You will lead the planning, delivery and modernization of the PVAMU enterprise application portfolio, including Ellucian Banner ERP and related platforms, reporting to the CIO.

The role emphasizes governance, data strategy, security and continuity, with oversight of internal staff and MSPs, driving automation, AI exploration, and collaboration with academic and administrative