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Job Description & How to Apply Below
Job description
Job Title:
Assistant Professor / Associate Professor
Department:
Finance, Marketing, Human Resources, General Management, Business Analytics
Location:
Mira Road (East), Mumbai
Job Summary
The Faculty PGDM contributes to the overall academic excellence and industry relevance of the program by fostering an engaging, innovative, and student-centric learning environment. The role emphasizes developing students analytical, practical, and professional competencies while supporting the institution’s academic standards and strategic objectives through contemporary teaching and research practices.
Key Responsibilities
Deliver PGDM courses using innovative, interactive, and industry-relevant teaching methodologies
Design, develop, and continuously update curriculum in line with emerging industry trends and academic advancements
Maintain an active research profile with publications in reputed journals (ABDC, Scopus, Web of Science, or equivalent)
Mentor and guide students in academic progression, career development, and research initiatives
Engage with industry stakeholders for collaborations, live projects, guest lectures, and workshops
Contribute to institutional development through participation in academic committees, accreditation processes, and strategic initiatives
Promote experiential learning through case studies, simulations, and real-world applications
Qualifications & Experience
General Requirements:
Ph.D. in relevant discipline (mandatory)
4–5 years of experience in academia, research, or industry
Strong research track record with recent publications in reputed indexed journals (ABDC, Scopus, Web of Science, or equivalent)
Demonstrated experience in student mentoring, curriculum design, and innovative teaching practices
For Business Analytics Specialization:
Master’s / M.Phil. / Ph.D. in Statistics, Mathematics, Computer Science, Engineering, or related field
PGDM or equivalent qualification will be an added advantage
Hands-on experience with analytics tools, quantitative techniques, and applied business research preferred
Desired Skills & Competencies
Strong communication and presentation skills
Industry exposure and practical orientation
Research aptitude and academic rigor
Ability to integrate technology into teaching (LMS, analytics tools, simulations, etc.)
Collaborative mindset and institutional contribution focus
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