Assistant Professor - Marketing , Finance , Business Analytics

Job description

Job Title:

Assistant Professor / Associate Professor

Department:

Finance, Marketing, 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