Senior Data & AI Developer

Résumé du poste

Lead the development, maintenance, and support of enterprise information systems and AI technologies at the University of Victoria. Provide technical leadership and expert consultation to ensure systems meet strategic goals and operational needs.

Détails du poste

Mandate The Senior Data & AI Developer provides senior technical leadership within UVic Online, supporting the analysis, design, development, maintenance, and support of enterprise information systems at the University of Victoria. This role is essential for implementing and improving core administrative, academic, data, and AI systems, ensuring these systems meet the university’s strategic goals and operational needs. Objectives Lead the development and enhancement of enterprise information systems. Ensure systems are reliable, secure, accessible, and meet the evolving needs of the university community. Provide expert consultation and training to technical and non-technical staff. Support the university’s mission by enabling advanced technology solutions. Exceptional/unusual Working Conditions Work is primarily on campus; may require occasional off-campus or remote work. Must navigate complex, evolving technology and information security/privacy issues. This position requires a Bachelor’s Degree in Computer Science or other relevant discipline plus several years of experience in the development and maintenance of complex and integrated data systems in a large enterprise environment. An equivalent combination of education and experience may be considered. Knowledge, Skills, And Abilities Include Expert knowledge of: Modern programming languages and frameworks Software testing procedures and frameworks Modern technical architectures and configuration Supporting and maintaining enterprise scale software Data Lakes, Data Warehouse, Databases, and Data Developing methodology Data Science, Large Language Models, and other AI technologies Familiarity with project management processes Familiarity with Data Governance principles Areas of specialization may require additional expertise in one or more of the following areas: Data Developing, e.g. Data Management, API Integration, ETLs, Robotic Process Automation Data Science, e.g. Agentic AI Agents, Machine Learning models, Data Analysis, Report Design) Data Governance, e.g. Data Inventory Management, Data Quality Management, User Documentation Web Content Development, e.g. Content Management System Design, Sharepoint Site Design Front End Web Development, e.g. Content Management Systems, Sharepoint, Application Front End Development) Enterprise Application Development and Support, e.g. Enterprise Resource Planning Systems, Student Information Systems, Custom Application Development Identity access management, e.g. Identity Management Platforms Competency Requirements Include Ability to be an enthusiastic and resourceful team member, with excellent interpersonal and communication skills (written and oral) in order to interact effectively with colleagues, staff and vendors in a client-oriented environment Ability to successfully contribute to complex projects: developing project work plans; monitoring and directing the activities of a project team Willingness and ability to acquire new computing and other related skills independently Ability to successfully lead, mentor, coach, and train both technical and non-technical staff Ability to problem solve effectively Ability to write coherent technical and user documentation Ability to work in an effective and organized manner in a complex environment Ability to provide technical leadership for complex software projects and creating technical design specifications Commitment to diversity, equity, and inclusion in the workplace. Assets Include Familiarity with higher education business processes

Ce que vous ferez

Lead the development, maintenance, and support of enterprise information systems and AI technologies at the University of Victoria. Provide technical leadership and expert consultation to ensure systems meet strategic goals and operational needs.

Exigences

Requires a Bachelor's Degree in Computer Science or a related field with several years of experience in complex enterprise data systems. Candidates must possess expert knowledge of modern programming, AI technologies, and the ability to mentor technical staff.

Compétences indiquées

• Technical Documentation · Souhaitée
• Apprentissage automatique · Souhaitée
• Gestion de projet · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Science
• Large Language Models
• AI Technologies
• Data Warehousing
• ETL
• API Integration
• Machine Learning
• Data Governance
• Software Testing
• Enterprise Application Development
• Identity Access Management
• Technical Leadership
• Project Management
• Technical Documentation
• Front End Development
• Robotic Process Automation

Domaines d’emploi

• Data & Analytics
• Software
• Technology
• Education
• Engineering