SP Jain in the News

 In today’s fast-changing business world, many mid-career professionals reach a point where they ask: “What’s next?” after years of experience — whether that means moving into senior leadership, shifting to a new field, or starting a business .

Gone are the days when coding alone could land a top data science job. By 2026, recruiters are seeking professionals who combine technical skill with business insight, ethical awareness, and adaptability. The role has shifted from building models to solving real-world problems that impact organisations.

What happens when the rules of business keep changing? Leaders can no longer rely on experience alone. Rapid technological change, global disruption, and rising sustainability expectations are testing leaders like never before.

Behind every breakthrough in artificial intelligence lies one critical ingredient: data. As organisations increasingly rely on data-driven insights to power intelligent systems, the demand for skilled data science professionals is set to grow rapidly.

As industries evolve and job roles continue to shift, career transitions are becoming increasingly common. Today, professionals are not switching careers out of restlessness but because entire sectors are being reshaped by technology, globalisation, and new business models.

SP Jain Global's Executive MBA has been ranked 29^th in the world in the QS International Trade Rankings 2026, placing the program in the company of some of the most respected business schools globally.

A case study co-authored by Dr Tristan Chong, Professor and Area Head of Marketing at SP Jain Global, has been recognised as a Best-Selling Case 2025 by The Case Centre, UK—a prestigious annual recognition for teaching materials that have made significant impact in business education.

In a recent cover story with Higher Education Plus, Nitish Jain, Founder and President of the SP Jain Group, shared his perspective on why Artificial Intelligence can enhance education, but never replace its human core.

With artificial intelligence, data, and analytics transforming how industries operate, the gap between classroom education and job-ready skills has become increasingly evident. Employers today expect graduates who can immediately apply their knowledge through coding and real-world problem-solving, marking a decisive shift beyond theory-driven learning.