Editorial summary

The company is seeking a motivated and enthusiastic Lecturer or Senior Lecturer specializing in AI and Innovation to join their academic team. The role involves teaching and developing future business professionals in applying artificial intelligence strategically and responsibly to foster innovation and data-driven decision-making. Candidates should have experience in applying AI within a business context and possess strong teaching capabilities. Compensation details are not specified.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 29742 first appeared in Job-Q.com on 04 Sep 2026]

[What the role is]

We are looking for a motivated and enthusiastic individual with experience in applying artificial intelligence (AI) in the business context, The role focuses on leveraging AI tools and solutions to drive business innovation, strengthen data-driven decision-making and enable intelligent automation. The successful candidate will play a key role in developing future-ready business professionals who can apply AI strategically, critically, and responsibly to create sustainable organisational and societal value.

[What you will be working on]

Teaching & Student Development

• Conduct lectures, tutorials, student consultations, and supervise industry-based projects and internships.
• Teach and facilitate applied learning in areas such as AI for business innovation, AI-enabled decision-making, agentic AI, intelligent automation, and advanced analytics.
• Guide students in identifying business opportunities, analysing and redesigning workflows, prototyping AI-enabled solutions, and developing evidence-based business cases.
• Develop students’ ability to critically evaluate AI-generated outputs and make sound decisions based on data, evidence, business considerations, and human judgement.Support students’ learning and development through mentoring, coaching, and appropriate academic interventions.
• Support students’ learning and development through mentoring, coaching, and appropriate academic interventions.
• Organise student activities, industry visits, overseas learning journeys, and experiential learning opportunities to promote holistic development.

Curriculum, Assessment & Learning Design

• Lead or contribute to the development and delivery of subjects in areas such as AI for Business Innovation and AI-enabled Decision Making, including assessments, assignments, marking, and moderation activities.
• Evaluate and enhance curriculum quality, lesson design, delivery methods such as e-learning, flipped classroom, and blended learning, as well as assessment practices through effective teaching and learning strategies.
• Contribute to subject reviews, curriculum development, accreditation exercises, and programme enhancement initiatives.

Digital, Applied & Industry-Relevant Learning

• Embed applied AI practices into curriculum design, including generative AI, machine learning applications, agentic AI, intelligent automation, data analytics, business intelligence, workflow redesign, and rapid prototyping.
• Facilitate students’ experimentation with appropriate AI platforms and tools to develop and validate products, services, processes, and business-model innovations.
• Translate current industry practices into meaningful and effective learning experiences that strengthen students’ workplace readiness and applied problem-solving capabilities.

Industry Collaboration & Professional Practice

• Participate actively in professional development activities, industry projects, consultancy work, and applied research initiatives.
• Contribute actively to school-wide, poly-wide, and industry engagement activities.

Continuing Education & Training (CET)

• Develop and facilitate Continuing Education and Training (CET) programmes and professional workshops for adult learners and industry practitioners.

[What we are looking for]

• Qualifications in Artificial Intelligence, Computer Science, Information Systems, Business Analytics, Data Science, Business, Digital Innovation, or a related discipline.
• At least 3 years of relevant industry experience in one or more areas such as AI-enabled business transformation, digital innovation, business analytics, intelligent automation, product or service innovation, technology consulting, or AI solution implementation.
• Practical familiarity with generative AI, AI-assisted research and analysis, agentic AI, workflow automation, business intelligence, data visualisation, and/or AI-enabled solution prototyping.
• Sound understanding of responsible AI principles, AI ethics, governance, risk management, data privacy, cybersecurity, algorithmic bias, transparency, accountability, and human oversight.
• Strong communication, facilitation, analytical, and interpersonal skills, with the ability to work effectively in a dynamic environment.
• Passion for teaching, mentoring, and developing both pre-employment students and adult learners.

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