Assistant/Associate Professor in Marketing Technology & Customer Analytics – Canadian University Dubai

Job Description

Canadian University Dubai (CUD) invites applications for Assistant Professor and Associate Professor positions in Marketing Technology & Customer Analytics within the School of Management.

The positions are based in Dubai, United Arab Emirates, with an anticipated start in Spring Semester 2026–2027.

Job ID: 237
Employment Type: Full Time
Posting Date: September 21, 2026
Application Deadline: October 23, 2026 at 11:00 PM
Location: City Walk, Al Wasl Road, Dubai, UAE

About the Position

Canadian University Dubai is seeking faculty with expertise at the intersection of marketing, customer analytics, digital technologies, and data-driven decision-making.

Successful candidates will contribute to:

• High-quality undergraduate and graduate teaching.
• Impactful academic research.
• Curriculum development.
• Student supervision.
• Academic service.
• Industry engagement.
• The broader academic initiatives of the School of Management.

Particular emphasis is placed on 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.

The doctoral degree must have been obtained from a university ranked within the top 500 of the QS World University Rankings.

Candidates should demonstrate:

• A strong record of teaching effectiveness.
• Research productivity appropriate to academic rank.
• Engagement with industry and/or professional communities.
• Publications in reputable, Scopus-indexed journals, 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 is highly desirable.

Experience with data visualization and business intelligence platforms such as Power BI and/or Tableau is also highly desirable.

Additional relevant technical experience may include:

• Text mining.
• Image analytics.
• Topic modelling.
• Clustering.
• Social-network analysis.
• Machine learning.
• Business intelligence.
• Data visualization.

These capabilities are particularly relevant to the analytical and technical content of the MScDMA curriculum.

Experience Requirements

Applicants should demonstrate relevant university-level teaching experience appropriate to the academic rank for which they are applying.

Candidates should also provide evidence of contributions to:

• Curriculum development.
• Student supervision.
• Academic service.

Candidates applying at the Associate Professor level should additionally demonstrate experience in undergraduate and graduate teaching and postgraduate supervision appropriate to that academic rank.

Experience in the following areas would be advantageous:

• Curriculum development.
• Supervision of graduation projects.
• Postgraduate research supervision.
• AACSB accreditation processes.

Teaching Areas

Teaching may 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 Expectations

Successful candidates will be expected to maintain an active research agenda and publish in reputable, peer-reviewed journals.

Relevant research areas may include:

• Customer analytics and intelligence.
• Customer relationship management.
• Marketing technology.
• Marketing automation.
• Digital consumer behaviour.
• Customer experience.
• E-commerce.
• Digital experimentation.
• Social media analytics.
• Omnichannel strategy.
• Responsible use of customer data and technology in marketing.

Faculty members are also expected to engage with industry and professional communities to support applied research, knowledge exchange, and professional practice.

Key Responsibilities

The successful candidate will be expected to:

• Serve as a subject matter expert and support the Program Chair or Coordinator in academic operations.
• Help ensure curriculum alignment with CUD requirements, industry needs, and developments in the discipline.
• Teach undergraduate and graduate courses within their areas of expertise.
• Maintain current course content and updated syllabi.
• Complete assessment and grading in a timely manner.
• Maintain accurate student records.
• Hold regular office hours and provide academic advising and support.
• Recommend suitable learning resources, technologies, and teaching materials.
• Supervise independent studies, student projects, internships, graduation projects, and postgraduate research as appropriate to academic rank.
• Contribute to curriculum evaluation, course development, and continuous programme improvement.
• Conduct high-quality research and publish in reputable peer-reviewed journals.
• Participate in academic governance, faculty meetings, accreditation processes, and related documentation.
• Contribute to AACSB-related initiatives where applicable.
• Support student advising, registration, and orientation activities.
• Engage in community outreach, industry collaborations, knowledge exchange, and professional service.
• Represent CUD at professional events and conferences.
• Participate in professional development and capacity-building activities.

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Compensation and Benefits

Eligible faculty employees may receive:

• Generous academic annual leave.
• Tax-free salary.
• Housing allowance.
• Transportation allowance.
• Annual flight benefits in accordance with faculty grade eligibility.
• Children’s education allowance in accordance with faculty grade eligibility.
• Furniture allowance where applicable.
• Joining and repatriation benefits in accordance with faculty grade eligibility.
• Family visa support in accordance with faculty grade eligibility.
• Professional development opportunities.
• International health insurance.
• Life insurance.
• In-house visa and relocation support services.
• Full access to campus facilities.
• Research and innovation funding support.

Application Deadline

Applications should be submitted by:

October 23, 2026 at 11:00 PM

Applicants should verify all vacancy details and application requirements through the official Canadian University Dubai recruitment system before applying.