Assistant / Associate Professor (Operations & Data Science)

Faculty – Operations & Decision Sciences

Pravin Dalal School of Entrepreneurship & Family Business Management (PDSE&FBM), NMIMS, Mumbai

About Us:

The Pravin Dalal School of Entrepreneurship & Family Business Management (PDSE&FBM), NMIMS is dedicated to nurturing the next generation of entrepreneurs, family-business leaders and business professionals.

The School brings together academic rigour, entrepreneurial thinking and real-world business application, with a strong focus on entrepreneurship, family business, innovation and sustainable growth. Through classroom learning, experiential projects, industry interaction and research, the School aims to prepare students to manage, transform and scale businesses in a rapidly changing environment.

Position

Designation: Assistant Professor / Associate Professor

Area: Operations & Decision Sciences

Location: Mumbai

Role

PDSE&FBM invites applications from academicians with expertise in Operations & Decision Sciences to contribute to teaching, research, student mentoring and academic initiatives.

Key Responsibilities

• Teach courses such as Operations Management, Supply Chain Management, Quality Management, Project Management, Forecasting, Inventory Management and Operational Excellence.
• Develop case-based and experiential learning content.
• Mentor students on academic, entrepreneurial and family-business projects.
• Conduct and publish high-quality research.
• Contribute to curriculum development, academic initiatives and industry engagement.

Preferred Research Areas

• Operations & Supply Chain Management
• Operational Excellence and Process Improvement
• Inventory and Demand Management
• Operations Analytics
• Digital Transformation of Operations
• Sustainable Operations
• Operations in family businesses, SMEs and entrepreneurial ventures

Qualifications & Experience

• Ph.D. in Operations Management, Supply Chain Management, Operations Research, Decision Sciences, Industrial Engineering, Business Analytics or a relevant discipline, as per applicable UGC/NMIMS norms.
• Relevant teaching, research and/or industry experience.
• Strong research and publication record will be an advantage.
• Experience with family businesses, SMEs or entrepreneurial ventures will be an added advantage.

Candidate Profile

We are looking for candidates with:

• Strong expertise in Operations
• Excellent teaching and communication skills
• Strong research orientation
• Ability to connect theory with real-world business problems
• Interest in entrepreneurship and family business