Job Description
Faculty – School of Management (Assistant/Associate/Professor)
Location: On-Campus | Full-Time| Flexible Work Policy
Join a progressive university focused on academic excellence, industry relevance, and student-centered learning.
Application Process:
Please submit your curriculum vitae and cover letter along with 2 best research papers, expression of interest via email to by the 20th of January 2026.
Role Overview:
We are looking for academically strong and forward-thinking faculty who can integrate technology-enabled learning into management education and contribute to a dynamic, outcome-focused academic environment
Key Responsibilities: Teach undergraduate and postgraduate courses using contemporary, learner-centric pedagogy . Deliver and design tech-oriented courses in the domain (e.g., HR Analytics, Marketing Analytics, Business Intelligence Tools, Digital Strategy, AI Applications in Business). Develop academic content, case studies, experiential and project-based learning modules.
Actively engage in research, publications, and knowledge dissemination.
Mentor students for academic progression, internships, and career development.
Contribute to institutional initiatives, accreditation, and industry-academic collaborations.
Required Qualifications: Ph. D. (or thesis submitted) in Management or relevant discipline from national and/or international institution of repute. Ph. D. is must. Strong subject knowledge and ability to integrate digital tools and data-driven perspectives in teaching.
Evidence of teaching effectiveness and/or research output
Publications in ABDC & Scopus journals.
Preferred Expertise Areas (any):
Analytics: Excel / Power BI / Tableau / SPSS / R / Python (managerial application)
Finance: Fin Tech, Financial Modelling, Data-Driven Decision Making
Strategy & Operations: Digital Transformation, AI for Managers, Tools, Industry 4.0
Entrepreneurship & Innovation: Startup ecosystem insights, Design Thinking, Business Model Innovation, Venture Incubation.
HR & OB: HR Analytics, HR Tech, People Data Insights
Marketing: Digital Marketing, Marketing Analytics, Consumer Data Insights
What We Offer: Flexible working policy supporting work-life balance. Collaborative, research-supportive academic culture.
Opportunities for curriculum innovation and interdisciplinary work.
Professional development and conference support.
Sponsored Project/Consultancy/Research Grant desirable for the position of Associate Professor and above.
Location: On-Campus | Full-Time| Flexible Work Policy
Join a progressive university focused on academic excellence, industry relevance, and student-centered learning.
Application Process:
Please submit your curriculum vitae and cover letter along with 2 best research papers, expression of interest via email to by the 20th of January 2026.
Role Overview:
We are looking for academically strong and forward-thinking faculty who can integrate technology-enabled learning into management education and contribute to a dynamic, outcome-focused academic environment
Key Responsibilities: Teach undergraduate and postgraduate courses using contemporary, learner-centric pedagogy . Deliver and design tech-oriented courses in the domain (e.g., HR Analytics, Marketing Analytics, Business Intelligence Tools, Digital Strategy, AI Applications in Business). Develop academic content, case studies, experiential and project-based learning modules.
Actively engage in research, publications, and knowledge dissemination.
Mentor students for academic progression, internships, and career development.
Contribute to institutional initiatives, accreditation, and industry-academic collaborations.
Required Qualifications: Ph. D. (or thesis submitted) in Management or relevant discipline from national and/or international institution of repute. Ph. D. is must. Strong subject knowledge and ability to integrate digital tools and data-driven perspectives in teaching.
Evidence of teaching effectiveness and/or research output
Publications in ABDC & Scopus journals.
Preferred Expertise Areas (any):
Analytics: Excel / Power BI / Tableau / SPSS / R / Python (managerial application)
Finance: Fin Tech, Financial Modelling, Data-Driven Decision Making
Strategy & Operations: Digital Transformation, AI for Managers, Tools, Industry 4.0
Entrepreneurship & Innovation: Startup ecosystem insights, Design Thinking, Business Model Innovation, Venture Incubation.
HR & OB: HR Analytics, HR Tech, People Data Insights
Marketing: Digital Marketing, Marketing Analytics, Consumer Data Insights
What We Offer: Flexible working policy supporting work-life balance. Collaborative, research-supportive academic culture.
Opportunities for curriculum innovation and interdisciplinary work.
Professional development and conference support.
Sponsored Project/Consultancy/Research Grant desirable for the position of Associate Professor and above.
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