DIGITAL TRANSFORMATION ARCHITECT (AI & AUTOMATION MANAGER)

Key Accountabilities and Technical Depth:

• Lead AI and Machine Learning Initiatives:

• • Apply Artificial Intelligence and Machine Learning (AI/ML) techniques (e.g., deep learning, natural language processing) for student records, exam validation, room allocation, predictive analytics, and service chatbots.
  • Focus on Data Science Pipeline: Implement robust ETL (Extract, Transform, Load) processes and ensure data accuracy to generate reports supporting informed data-driven decision-making.

• Lead Automation to Support Critical Functions:

  • Design and implement enterprise-level systems to automate and improve processes across student applications, admissions, fee payments, registrations, and student services.
  • Platform Integration: Develop secure, scalable platforms accessible across Registry, Bursary, HR, Academic Schools, Student Administration, Senior Management, Library, ICTS, and Security.

• Data Governance and Cybersecurity:

  • Build and maintain secure, centralized databases for students, HR, financial, and academic records, ensuring high availability and fault tolerance.
  • Implement AI-powered security systems to manage data privacy, access control, and maintain compliance with data governance protocols (e.g., identity and access management, data recovery).

• Capability Building & Training:

  • Design and run structured training programs for junior systems programmers to enhance technical expertise in areas like cloud infrastructure and scalable application development.
  • Establish a mentoring system to guide junior staff and ensure knowledge transfer within the ICTS department.