Marketing Technology & Customer Analytics Faculty

Canadian University Dubai (CUD) is seeking exceptional faculty at the ranks of Assistant Professor and Associate Professor in Marketing Technology & Customer Analytics to join the School of Management starting Spring Semester 2026–2027.

Successful candidates will contribute to high-quality teaching, impactful research, curriculum development, and the School’s broader academic initiatives, with particular expertise in customer analytics, customer relationship management, marketing technology, digital marketing, and technology-enabled marketing practice.

Qualifications:

Applicants must hold a PhD in Marketing or a closely related discipline, with a strong analytical and technology-oriented specialization, obtained from a university ranked within the top 500 in the QS World University Rankings.

Candidates should demonstrate a strong record of teaching effectiveness, research productivity, and engagement with industry and/or professional communities. Evidence of publications in reputable, Scopus-indexed journals is expected, commensurate with academic rank.

Relevant professional certifications are preferred.

Expertise and Technical Competencies:

Candidates should demonstrate expertise in areas including:

• Customer relationship management and customer intelligence
• Customer analytics
• Marketing technology (MarTech)
• Marketing automation
• E-commerce analytics
• Digital experimentation
• Customer experience analytics
• Digital marketing analytics
• Customer journey and engagement analytics
• Retail and omnichannel analytics

Proficiency in analytical and programming tools such as Python and/or R, together with data visualization and business intelligence platforms such as Power BI and/or Tableau, is highly desirable.

Experience with advanced analytical techniques such as text mining, image analytics, topic modelling, clustering, social-network analysis, machine learning, and business intelligence/data visualization is also highly desirable, given the analytical and technical content of the MScDMA curriculum.

Experience Requirements:

Candidates should demonstrate relevant university-level teaching experience appropriate to the academic rank applied for, together with evidence of contribution to curriculum development, student supervision, and academic service.

Candidates applying at the Associate Professor level should additionally demonstrate appropriate experience in undergraduate and graduate teaching and postgraduate supervision, commensurate with the requirements of the academic rank.