Faculty in Marketing Analytics, Artificial Intelligence, Marketing Technology and Customer Analytics

Canadian University Dubai invites applications for the position of Assistant Professor or Associate Professor in Marketing Analytics, Artificial Intelligence, Marketing Technology and Customer Analytics within the School of Management.

The successful candidate will contribute to undergraduate and graduate teaching, high quality academic research, curriculum development, student supervision, academic service, industry engagement and the continued development of the School of Management.

The position has a strong interdisciplinary focus, bringing together marketing, customer and consumer analytics, artificial intelligence, machine learning, marketing technology, digital marketing and data driven decision making.

The anticipated start date is Spring Semester 2026/2027.

Qualifications

Applicants must hold a PhD in Marketing, Marketing Analytics, or a closely related discipline, with a strong analytical, artificial intelligence, digital or technology focused specialisation.

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 university level teaching effectiveness appropriate to the academic rank

• Research productivity appropriate to the academic rank

• Publications in reputable Scopus indexed journals, commensurate with academic rank

• Evidence of engagement with industry and professional communities

• Experience in curriculum development, student supervision and academic service

• Strong communication, collaboration and student engagement capabilities

Relevant professional certifications are preferred.

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

Experience with graduation project supervision, postgraduate research supervision and AACSB accreditation processes would be advantageous.

Areas of Expertise

Candidates should demonstrate expertise across several of the following areas:

• Marketing analytics and consumer analytics
• Customer analytics and customer intelligence
• Artificial intelligence applications in marketing
• Machine learning applications in marketing
• Predictive and statistical modelling
• Customer relationship management
• Marketing technology and marketing automation
• Digital marketing analytics
• E commerce analytics
• Customer experience and customer journey analytics
• Digital experimentation
• Social media and influencer analytics
• Retail and omnichannel analytics
• Digital consumer behaviour
• Marketing research and data driven decision making
• Quantitative and experimental methods
• Analysis of structured and unstructured consumer and digital data
• Business intelligence and data visualisation
• Ethical and responsible use of artificial intelligence, technology and consumer data in marketing
• Proficiency in analytical and programming tools such as Python and R is highly desirable.
• Experience with business intelligence and data visualisation platforms such as Power BI and Tableau is also highly desirable.

Additional relevant technical capabilities may include text mining, image analytics, topic modelling, clustering, social network analysis and other machine learning techniques.

Teaching Responsibilities

The successful candidate may teach undergraduate and graduate courses across areas including:

• Marketing analytics and predictive modelling
• Artificial intelligence and machine learning applications in marketing
• Customer relationship management and customer analytics
• Customer intelligence
• Marketing technology and marketing automation
• Digital marketing strategy and analytics
• Marketing research and data driven decision making
• E commerce and digital consumer behaviour
• Customer experience and customer journey analytics
• Quantitative and experimental methods
• Digital experimentation
• Social media and influencer analytics
• Retail and omnichannel analytics
• Brand management
• Data visualisation and business intelligence
• Analysis of structured and unstructured consumer data
• Ethics and responsible use of artificial intelligence, technology and consumer data

Research Expectations

The successful candidate will be expected to maintain an active and impactful research agenda and publish in reputable peer reviewed academic journals.

Relevant research areas may include marketing and consumer analytics, customer analytics and intelligence, artificial intelligence and machine learning applications in marketing, predictive modelling, marketing technology, customer relationship management, marketing automation, digital consumer behaviour, customer experience, e commerce, digital experimentation, social media analytics, omnichannel strategy, and the responsible use of artificial intelligence, customer data and emerging technologies in marketing.

Faculty members are 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:

• Deliver high quality undergraduate and graduate teaching within their areas of expertise
• Serve as a subject matter expert and support the Program Chair or Coordinator in academic operations
• Ensure that curricula remain aligned with CUD requirements, industry needs and developments within the discipline
• Maintain current course content, syllabi, learning resources and teaching materials
• Conduct assessments and grading in a timely and academically rigorous manner
• Maintain accurate academic and student records
• Provide regular academic advising, office hours and student support
• 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 activities and academic documentation
• Contribute to AACSB related initiatives where applicable
• Support student advising, registration and orientation activities
• Participate in community outreach, industry collaboration, knowledge exchange and professional service
• Represent Canadian University Dubai at conferences, professional events and relevant external engagements
• Participate actively in professional development and academic capacity building activities

Compensation and Benefits

Canadian University Dubai offers an attractive compensation and benefits package for eligible faculty employees, which may include:

• Tax free salary
• Generous academic annual leave
• 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
• International health insurance
• Life insurance
• Professional development opportunities
• In house visa and relocation support
• Full access to campus facilities
• Research and innovation funding support

About CUD

Established in 2006, CUD is one of the most promising universities in the Middle East, Africa, and South Asia region, QS ranked in the top 2% of universities worldwide, number 1 in Dubai, and 21st in the Arab Region according to the QS Arab Region Rankings 2025.

Our expanded City Walk campus hosts state of the art amenities with a focus on entrepreneurship, innovation, and creativity. Combining all the essential elements of technology, the avant-garde campus brings a new experience to students, featuring laboratories, research facilities, media studios, high-tech classrooms, a multipurpose theatre, gymnasium, student centre, dining and entertainment options, and more.

With one of the world’s fastest growing populations, Dubai offers a diverse, multicultural environment with outstanding lifestyle and employment opportunities.

Our eligible employees enjoy competitive compensation and benefits, including generous annual leave, tax free salary, housing allowance, annual flights for self, spouse, and dependent children, children’s education allowance, relocation and shipping allowance, professional development opportunities, international health insurance, in house visa and relocation support services, and full access to campus facilities.

Canadian University Dubai is committed to fostering an inclusive and supportive working environment and welcomes applications from qualified candidates of diverse backgrounds.