Marketing Technology & Customer Analytics Faculty

Canadian University Dubai; Dubai; On-site; AED 240,000 - 360,000; Full time

Benefits offered by this job

Generous academic annual leave

Job summary

Canadian University Dubai seeks a PhD-qualified professor to lead teaching and research in Marketing and Analytics. The role emphasizes high-quality teaching, curriculum development, student supervision, and engagement with industry partners to enhance applied research.

The candidate will contribute to program development and accreditation activities, including AACSB initiatives, while maintaining an active publication record and impact-driven scholarship.

Qualifications

• PhD in Marketing or closely related discipline with strong analytical and technology-oriented focus
• Evidence of teaching effectiveness, research productivity and engagement with industry or professional communities
• Publications in reputable Scopus-indexed journals expected commensurate with rank

Responsibilities

• Teach undergraduate and graduate courses in Digital Marketing and Analytics and ensure updated syllabi and timely assessment
• Contribute to curriculum evaluation and program development
• Support accreditation processes, governance and industry collaborations

Skills

Teaching

Curriculum design

Student supervision

Industry engagement

Data analytics

Education

PhD in Marketing

Tools

Python

R

Power BI

Tableau

Job description

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 intelligenceCustomer analyticsMarketing technology (MarTech)Marketing automationE-commerce analyticsDigital experimentationCustomer experience analyticsDigital marketing analyticsCustomer journey and engagement analyticsRetail and omnichannel analyticsProficiency 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 planningCustomer relationship management and customer analyticsCustomer intelligenceMarketing technology and marketing automationE-commerce and digital consumer behaviourCustomer experience and customer journey analyticsDigital experimentationSocial media and influencer analyticsRetail and omnichannel analyticsBrand managementMarketing research and data-driven decision makingEthics 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 professional and scholarly engagement Participate in academic governance faculty and departmental meetings accreditation processes and related academic documentation Contribute to the School of Management s accreditation activities including AACSB-related initiatives where applicable Support academic administrative activities including student advising registration and orientation activities as required Engage in community outreach industry collaborations knowledge exchange and professional service Represent CUD at professional events conferences and relevant public engagements Participate in professional development and other capacity-building initiatives Our eligible faculty employees enjoy competitive compensation and benefits including Generous academic annual leave