Engagement Lead

Role Overview As an Engagement Lead / Manager at Straive, you will be responsible for anchoring analytics engagements in the Consumer Packaged Goods (CPG) domain. Your role will involve end-to-end ownership of client relationships, solution strategy, program delivery, and growth of analytics accounts with a sharp focus on commercial analytics including Trade Promotion Analysis, Revenue Growth Management (RGM), Pricing Optimization, and Promotion Effectiveness. You will serve as a trusted advisor to global CPG clients, solving complex business challenges through data-driven insights to drive value across sales, marketing, and supply chain functions. Leading cross-functional teams spanning data science, engineering, and consulting, you will steer the delivery of scalable AI-led solutions that optimize trade spend, pricing strategies, and revenue growth levers. Key Responsibilities - Act as a strategic advisor to CPG clients, aligning advanced analytics, AI, and GenAI solutions with evolving business priorities around Trade Promotion Effectiveness, Revenue Growth Management, Pricing Optimization, and Promotion Analysis. - Lead the end-to-end delivery of AI and analytics initiatives including forecasting, trade optimization, retail execution, and personalization. - Identify whitespace opportunities and drive account growth via solution innovation, proof of concepts (PoCs), and strategic expansion. - Lead and mentor cross-functional teams across AI, data engineering, and industry domain specialists. - Drive client adoption through compelling narratives, insight-driven advisory, and change leadership. Required Qualifications - 12+ years of experience in advanced analytics, consulting, or digital transformation in the CPG domain. - Extensive domain expertise in CPG commercial analytics, specifically in Trade Promotion Analysis, Revenue Growth Management, Pricing Strategy, and Promotion Effectiveness. - Deep expertise across CPG functions such as sales ops, trade marketing, supply chain, and shopper insights. - Proven experience in designing and deploying enterprise-grade AI/analytics solutions. - Demonstrated success in leading large, multi-stakeholder programs with C-level impact. - Expertise in modern data stacks, visualization tools, and AI/ML frameworks is highly preferred.,