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Amazon is seeking a Manager-Workflow for Customer Experience Metrics in Bogotá. The role leads a team of Business Analysts focused on shift planning, scheduling, headcount alignment, and operational improvements across multiple sites and time zones.
The position emphasizes AI-driven transformation, capacity planning, and performance reporting to protect service levels and reduce costs. Collaboration with CS Operations, Finance, and Technology is essential.
Description Workflow Manager owns end-to-end Workflow execution across multiple Customer Service sites and geographies within the NSP organization. This role bridges tactical capacity execution with network-level strategy, ensuring that staffing plans translate into accurate, on-the-ground scheduling and workforce deployment that protects service levels and delivers cost efficiency. The Workflow Manager leads a team of Business Analysts responsible for shift planning, schedule adherence, headcount alignment, and operational defect resolution across assigned sites. This is not a reporting role. The Workflow Manager tackles ambiguous, high-stakes workforce questions that span scheduling accuracy, capacity risk mitigation, cross-site coordination, and process standardization. They operate independently in a fast-paced environment, managing competing priorities with analytical rigor and sound judgment. They partner closely with CS Operations, Capacity Planning, Finance, Training, and PxT teams to execute short-term and long-term capacity plans. They contribute directly to the team's AI-driven transformation agenda by driving AI adoption across their team, building automation for repetitive workflows, and demonstrating measurable productivity gains.
The Network Strategy and Performance (NSP) team defines and delivers the right human‑assisted support to Amazon customers under demand and labor supply volatility, by optimizing the Amazon Customer Service (CS) network for customer experience, associate experience, and cost. We are responsible for: (1) planning customer support staffing; (2) preserving the customer experience when customers contact Customer Service; and (3) ensuring best costs for providing customer support. We analyse historical data and anticipate potential business events to accurately predict the number of Customer Service Associates (CSAs) required for a given period. Our areas of expertise span forecasting, planning, optimization, data analytics, execution and reporting. We deliver our vision using operations research, data science, and program management - and we continue to challenge the status quo, invent and simplify, and deliver excellence for our customers.
The Network Performance team is on a transformation journey. We are building a future‑ready team that combines analytical rigor with AI fluency, executive‑level communication, and the ability to drive outcomes across organizational boundaries. We are seeking an L5 Labor Business Analyst to join this team and help shape how Amazon plans, staff, and optimizes its Customer Service network.
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