You will be responsible for managing a module of work or leading a small project team (1-2 members). This involves guiding client teams and structuring analyses to address key client challenges. Key objectives include serving as an internal role model, building expertise with mid-level client management, and beginning to engage in business development activities, such as preparing proposals and participating in client pitches.

About the team/Practice Area   To succeed in a digital world, businesses require adaptable, intelligent products, platforms, and services. The Frost & Sullivan ICT Growth Opportunity Analytics Practice leverages end-user customer research and deep vendor relationships to offer unique and valuable growth insights across technologies, geographies, and industries.  

Lead a client project. Goal is to structure & coordinate the activities of a team of consultants and/or associates in developing a coherent strategy, together with the client. Key role in maintaining & reinforcing client relationships. Seen by client as business advisor in mid-management levels.    

About the team/Practice Area   Frost & Sullivan’s Healthcare & Life Sciences Growth Advisory practice has a powerhouse team of analysts and strategists working across the Hospital Consulting, Digital Health, Medical Devices, Bio-Pharmaceuticals and Clinical Diagnostics Space. Our team generates value for Healthcare & Life Sciences companies offering strategic insights...

The Candidate will possess knowledge of agri, food, beverage, FMCG strategy, markets, segments, channels and consumer behavior and preferences. The Candidate will lead Client engagement towards fulfilment of strategic consulting and advisory projects with leading F&B/FMCG companies in the MEASA region (India and Middle East in particular)   The ideal candidate will, therefore, possess excellent project leadership, people management, and client handling skills....

Duties & Responsibilities: - Design and implement efficient data architectures, storage solutions, and data processing workflows, with a focus on stream processing, event queuing capabilities, and advanced CI/CD pipelines. - Lead architecture design, development, and deployment of complex data-intensive systems using Kubernetes, data orchestration tools,...