{"id":1090023,"url":"https://alion.io/job/corporate-inc-marketing-analytics-artificial-intelligence-faculty","title":"Marketing Analytics & Artificial Intelligence Faculty","company":{"id":66937,"name":"Corporate Inc","domain":"cud.ac.ae","url":"https://alion.io/company/cud","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Education","role_family":"Education","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":43000,"period":"year","method":"role_country_seniority_unknown","sample_n":11},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-21T11:44:38Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-02T16:03:33Z","board_verified":true,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":42},"description":"Canadian University Dubai (CUD) is seeking exceptional faculty at the ranks of Assistant Professor/ Associate Professor in Marketing Analytics & Artificial Intelligence to join the School of Management starting Spring Semester 2026-2027.\nSuccessful candidates will contribute to high-quality teaching, impactful research, curriculum development, and the School’s broader academic initiatives, with particular expertise in marketing and consumer analytics, artificial intelligence, machine learning, predictive modelling, and data-driven marketing.\nQualifications:\nApplicants must hold a PhD in Marketing, Marketing Analytics or a closely related discipline, obtained from a university ranked within the top 500 in the QS World University Rankings.\nCandidates 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.\nRelevant professional certifications are preferred.\nExpertise:\nCandidates should demonstrate expertise in areas including:\nMarketing and consumer analytics\nArtificial intelligence and machine learning applications in marketing\nPredictive modelling\nQuantitative and experimental methods\nStatistical modelling\nData visualization\nAnalysis of structured and unstructured consumer and digital data.\nProficiency 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.\nExperience 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.\nExperience Requirements:\nCandidates 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.\nCandidates 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.\nExperience with curriculum development, supervision of graduation projects and/or postgraduate research, and familiarity with AACSB accreditation processes would be advantageous.\nTeaching Areas:\nTeaching will span key areas of Digital Marketing and Analytics, including:\nMarketing analytics and predictive modelling\nArtificial intelligence and machine learning applications in marketing\nMarketing research and data-driven decision making\nConsumer and customer analytics\nQuantitative and experimental methods\nSocial media analytics\nDigital consumer behaviour\nData visualization and business intelligence\nAnalysis of structured and unstructured consumer data\nEthics and responsible artificial intelligence in marketing\nResearch Focus:\nSuccessful 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.\nRelevant research areas may include marketing and consumer analytics, predictive modelling, artificial intelligence and machine learning applications in marketing, digital consumer behaviour, social media analytics, analysis of structured and unstructured consumer data, and the responsible use of artificial intelligence and data in marketing.\nCandidates are also expected to engage with industry and professional communities to strengthen applied research, knowledge exchange, and professional practice.\nKey Responsibilities:\nServe 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.\nTeach undergraduate and graduate courses within their respective areas of expertise, ensuring engaging delivery, current course content, updated syllabi, and timely assessment and grading.\nMaintain accurate student records, hold regular office hours, provide academic support, and advise students as required.\nRecommend appropriate learning resources, technologies, and materials to enhance the student learning experience.\nSupervise independent studies, student projects, internships, graduation projects, and postgraduate research, as appropriate to academic rank.\nContribute to curriculum evaluation, course development, and the continuous improvement of academic programs.\nConduct high-quality research, publish in reputable peer-reviewed journals, and maintain active professional and scholarly engagement.\nParticipate in academic governance, faculty and departmental meetings, accreditation processes, and related academic documentation.\nContribute to the School of Management’s accreditation activities, including AACSB-related initiatives where applicable.\nSupport academic administrative activities, including student advising, registration, and orientation activities as required.\nEngage in community outreach, industry collaborations, knowledge exchange, and professional service.\nRepresent CUD at professional events, conferences, and relevant public engagements.\nParticipate in professional development and other capacity-building initiatives.\nOur eligible faculty employees enjoy competitive compensation and benefits, including:\nGenerous academic annual leave\nTax free salary\nHousing allowance\nTransportation allowance\nAnnual flight benefits in accordance with faculty grade eligibility\nChildren’s education allowance in accordance with faculty grade eligibility\nFurniture allowance where applicable\nJoining and repatriation benefits in accordance with faculty grade eligibility\nFamily visa support in accordance with faculty grade eligibility\nProfessional development opportunities\nInternational health insurance\nLife insurance\nIn house visa and relocation support services\nFull access to campus facilities\nResearch and innovation funding support","description_format":"text","description_chars":6246,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Health insurance","Life insurance","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Higher 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