solve your attribution problems
Develop a growth strategy
solve your attribution problems
Develop a growth strategy
Rai
Reviews
Global E-Commerce & Brand Growth Leader | AI-Driven CPG Strategist | GSK | P&G
Rai Nazar is a senior e-commerce and brand transformation executive with 18+ years of experience delivering growth at the world’s most iconic CPG companies. Currently the Global Senior E-Commerce Director at GSK, Rai architects digital commerce and retail media strategies across a £500M portfolio in consumer healthcare. His leadership has driven a 40% surge in direct digital sales, while repositioning Sensodyne into a £50M+ powerhouse brand.
A recognized force in digital transformation, Rai applies AI-powered insights, retail analytics, and cutting-edge martech to unlock growth across Amazon, Walmart, Instacart, and DTC channels. He is fluent in the modern commerce stack — including Criteo, Profitero, and full-funnel media orchestration — and uses this capability to turn lagging SKUs into market leaders.
Prior to GSK, Rai led P&G’s billion-dollar global skin care e-commerce business, overseeing high-growth brands across Amazon, Walmart, and major omnichannel retailers. His cross-category mastery spans FMCG verticals including food & beverage (Pringles), beauty, and consumer electronics (Oral-B) — consistently achieving double-digit growth through data, storytelling, and retail partnerships.
With an MBA from the University of Toronto and a Bachelor’s in Engineering from the National University of Singapore, Rai brings rare dual fluency in strategy and execution. His approach is grounded in first-principles thinking, blending consumer empathy with performance marketing and data science.
His leadership style is hands-on and human-first — known for building high-performance teams that thrive at the intersection of brand, media, and analytics. In every role, he’s created flywheels of growth by aligning product, insight, and demand generation into a unified engine.
“I scale brands by making them matter — to retailers, to algorithms, and most of all, to real people.”
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