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The Banner Modernization Engineer will lead technical architecture and solution design to migrate customers from legacy environments to SaaS-aligned platforms. They will leverage AI and automation to streamline delivery processes, reduce manual effort, and ensure scalable, repeatable outcomes for higher education clients.
Ellucian powers innovation for higher education, partnering with approximately 3,000 customers across 50 countries, serving more than 21 million students. Ellucian's AI-powered platform, trained on the richest dataset available in higher education, drives efficiency, personalized experiences, and strengthened engagement for all students, faculty and staff. Fueled by decades of experience with a singular focus on the unique needs of learning institutions, the Ellucian platform features best-in-class SaaS capabilities and delivers insights needed now and into the future. These solutions and services span the entire student lifecycle, including data-rich tools for student recruitment, enrollment, and retention to workforce analytics, fundraising, and alumni engagement. Ellucian's innovative solutions, vast ecosystem of partners and user community of more than 45,000 provides best practices leading to greater institutional success and achieving better student outcomes.
The Banner Modernization Engineer (Solutions Architect) is a hybrid role on SaaS Modernization projects designed to fulfill multiple functions by combining outcomes previously delivered by a Solution Architect (SA), Technical Architect (TA), and integration engineer into a single, versatile position.
The role will directly support SaaS go-lives for customers, reduce delivery duration and effort, and improve repeatability and scalability by strategically leveraging AI, automation, reusable assets, and modernization accelerators to improve delivery processes.
The Banner Modernization Engineer will play a critical role in helping customers move from highly customized legacy environments to sustainable, SaaS-aligned solutions. This includes applying AI-enabled: analysis, documentation, design validation, migration support, integration assessment, and delivery acceleration techniques to improve both customer outcomes and internal delivery efficiency.
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