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. Experience with curriculum development, supervision of graduation projects and/or postgraduate research, and familiarity with AACSB accreditation processes would be advantageous. Teaching Areas: Teaching will span key areas of Digital Marketing and Analytics, including: Digital marketing strategy and planning Customer relationship management and customer analytics Customer intelligence Marketing technology and marketing automation E-commerce and digital consumer behaviour Customer experience and customer journey analytics Digital experimentation Social media and influencer analytics Retail and omnichannel analytics Brand management Marketing research and data-driven decision making Ethics and responsible use of technology and consumer data Research Focus: Successful candidates will be expected to maintain an active research agenda and publish in reputable, peer-reviewed journals, with research expectations commensurate with academic rank and CUD requirements. Relevant research areas may include customer analytics and intelligence, CRM, marketing technology, marketing automation, digital consumer behaviour, customer experience, e-commerce, digital experimentation, social media analytics, omnichannel strategy, and the responsible use of customer data and technology in marketing. Candidates are also expected to engage with industry and professional communities to strengthen applied research, knowledge exchange, and professional practice. Key Responsibilities: Serve as subject matter experts, supporting the Program Chair or Coordinator in academic operations and helping ensure curriculum alignment with CUD requirements, industry needs, and current developments in the discipline. Teach undergraduate and graduate courses within their respective areas of expertise, ensuring engaging delivery, current course content, updated syllabi, and timely assessment and grading. Maintain accurate student records, hold regular office hours, provide academic support, and advise students as required. Recommend appropriate learning resources, technologies, and materials to enhance the student learning experience. Supervise independent studies, student projects, internships, graduation projects, and postgraduate research, as appropriate to academic rank. Contribute to curriculum evaluation, course development, and the continuous improvement of academic programs. Conduct high-quality research, publish in reputable peer-reviewed journals, and maintain active professi

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. Strong record of teaching effectiveness, research productivity, and engagement with industry and/or professional communities. Evidence of publications in reputable, Scopus-indexed journals. Relevant professional certifications are preferred. Experience with curriculum development, supervision of graduation projects and/or postgraduate research, familiarity with AACSB accreditation processes would be advantageous. Teaching experience appropriate to the academic rank, with preparation for undergraduate and graduate teaching and postgraduate supervision for higher ranks.

Teach undergraduate and graduate courses in Digital Marketing and Analytics, CRM and customer analytics, Marketing technology and marketing automation, E-commerce and digital consumer behaviour, Customer experience and journey analytics, Digital experimentation, Social media and influencer analytics, Retail and omnichannel analytics, Brand management, Marketing research and data-driven decision making; assess and update syllabi; supervise independent studies, student projects, internships, graduation projects, and postgraduate research; advise students; contribute to curriculum evaluation and program improvement; publish in peer-reviewed journals; engage with industry and professional communities; support program operations and curriculum alignment; maintain student records and provide academic support.