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A leading Internet Technology Co. (Top 10 globally) with over 1 billion accumulated users across platforms & product availability in 140+ markets. With offices in 125+ cities and 15 research and development centres around the globe; it has a man-power of over 55,000+ employees. Dedicated to building global platforms of creation and interaction; the Co. operates a range of content platforms that inform, educate, entertain & inspire people across languages, cultures & geographies. Its core strength and driver of growth has been its Research & Development division; which continuously aims to help users explore and discover the world's creativity, knowledge and moments that matter in everyday life.
“Company was looking to setup one of the largest R&D centres in India and wanted to understand how global Tech giants have structured their engineering team in the regions, specifically in e-wallet space.”
Limited factual information availability on the existing “Product Engineering Team” talent landscape in the region. The ultra-niche and high confidentiality profile of core engineering team members made it really difficult to get a realistic understanding.
Very limited direct access to precise & top talent within product engineering & service team of the targeted e-wallet Co. across all band levels with details on project experience, Tech. skillset & educational background (specifically Tier I & Rank-holders).
Obtaining a realistic understanding of the Engineering Team Organization chart, Reporting structure, and Job band level across Technical, Product Management, Engineering Management & Product Servicing teams.
‘insiders’ worked closely with the APAC Talent Acquisition team to ascertain the exact need. Established a dedicated in-house team to conceptualise and strategize an approach to identify, map & draw the exact Organization Chart.
Based on purposive & target sampling, ‘insiders’ conducted an intelligence search & survey study to identify top performing engineering talent in the target e-wallet Co. across levels and their exact team size.
Based on major primary level interactions with the target talent pool, ‘insiders’ identified & re-validated the exact Job band level (100% accuracy) and Organization Chart (95%+ accuracy) across Technical, Product, Engineering & Servicing teams.
90%+ of data provided from primary sources with verified contact details, team size, reporting structure with an avg. data accuracy of 85%+ [implemented end-to-end in 20 working days].