Category Lead - eCommerce

Work Overview: The Category Lead will drive category growth, revenue strategy, and profitability across channels. The role involves defining category strategy, building a scalable product portfolio, and collaborating cross-functionally to deliver strong product-market fit and sustainable growth through data-driven decisions. Key Responsibilities: - Own the overall category P&L, driving long-term, scalable, and profitable growth across channels. - Define and lead the category strategy, ensuring alignment with brand vision, customer needs, and business goals. - Set direction for product, pricing, and assortment, ensuring strong alignment with quality, style, and market positioning. - Lead trend forecasting and market analysis to identify new opportunities, white spaces, and category expansion areas. - Drive category roadmap and growth plans, including portfolio expansion, vendor ecosystem development, and new initiatives. - Oversee assortment planning, inventory strategy, and demand planning to optimize availability and minimize inefficiencies. - Define and optimize pricing and margin architecture, partnering with supply chain and marketing to maximize profitability. - Collaborate with senior stakeholders across design, sourcing, marketing, and retail to drive category performance and customer experience. - Identify key growth levers and lead strategic initiatives to improve conversion, visibility, and overall category performance. - Champion data-driven decision-making and implement scalable processes, automation, and best practices across the category. - Lead, mentor, and develop team members while ensuring strong stakeholder alignment and execution excellence. Eligibility: - Bachelors/Masters in Fashion, Technology, or MBA - 8+ years of experience in category management, buying, or merchandising (retail/e-commerce) - Strong exposure to D2C, e-commerce, or consumer businesses - Experience in scaling categories and managing P&L is preferred - Strong analytical mindset with ability to drive data-backed decisions