Lecturer- Information Systems & AI

Lecturer – IT – Information Systems & AI 
Location: Mt Albert, Auckland   
Full-time | Permanent | On-site 

 

About the role: 

We are seeking a passionate and experienced Lecturer to lead and inspire students in our Bachelor of Information Technology (BIT) programme. Specifically, we are looking for a versatile educator with expertise in Information Systems & AI. This role is an exciting opportunity to inspire and prepare students for successful careers in the IT industry. 

Key Responsibilities will include: 

• Deliver engaging and high-quality lectures, tutorials, and workshops. 

• Design, develop, and update course materials to align with industry trends and academic standards. 

• Mentor students in Information Systems & AI. 

• Assess student progress through assignments, projects, and examinations. 

• Collaborate with faculty and industry experts to enhance learning outcomes. 

• Stay abreast of developments in Information Systems & AI – including topics related to Business Information Systems; Data Analytics; AI/ML fundamentals; Data Management; Digital transformation and emerging trends. 

• Contribute to faculty research, programme reviews, and curriculum development. 

About you: 

Our undergraduate programmes constantly seek to achieve a balance between ‘academic excellence’ and ‘industry experience and best practice’.  

Preference will be given to applicants who have subject knowledge across a range of specialisations. Preference will also be given to those with industry experience, industry accreditation or similar status, and those who have undertaken applied research. 

Required experience/skills: 

• Currently hold at a minimum a Master's degree in IT or related field 

• Proven experience in Tertiary teaching Information Systems, Data Mining or Artificial Intelligence. 

• Certifications desirable include: Microsoft Certified Power BI data analyst, SAS certification, Tableau certification, Microsoft Azure AI Engineer Associate (AI-102), Google professional Machine Learning Engineer, Certified Data Management Professional, TOGAF Enterprise Architecture, COBIT 2019, Microsoft Azure Fundamentals, AWS Cloud Practitioner, Google Cloud Digital Leader 

• Strong knowledge of current trends and practices in the Information Systems & AI field 

• Strong interpersonal and communication skills, with the ability to effectively teach and engage diverse, multicultural cohorts. 

Our ideal superstar candidate will have: 

· PhD in a relevant field, or currently studying towards one 
· Established academic publishing track record 
· Demonstrated success in grant writing and funding applications 
· Postgraduate supervision experience 
· Strong industry experience and engagement in relevant field  

Why work with us? 

• Growing and dynamic organisation: Be part of a well-established institution with a strong reputation and continued growth in the education sector. 

• Forward-thinking environment: Work in an organisation that values innovation, continuous improvement, and high-quality education. 

• Collaborative and supportive culture: Join a diverse, inclusive community where teamwork, connection, and support are at the heart of everything we do. 

• Diverse and multicultural community: Work alongside staff and students from a wide range of cultural backgrounds, celebrating global perspectives. 

• Staff benefits and development: Enjoy access to campus facilities and opportunities for ongoing learning and professional development. 

 

To Apply:  

To apply for this position, please submit your resume and a cover letter detailing your relevant experience and interest in the role. Suitable candidates will be contacted as applications are received.

Questions about your identity help us appreciate the diversity of individuals looking to work with us, ensuring we’re attracting applications from people with identities and perspectives that are as diverse as our students. 

We are an equal opportunity employer. As part of our commitment to equity, we work to ensure a fair and consistent interview process. We celebrate diversity and we are committed to an inclusive work environment.