阿里巴巴LAZADA-Country Operations-Guangzhou

Demand Forecasting & Sales Planning Drive the design and evolution of high-impact regional demand forecasting algorithms and increase adoption across our six Southeast Asian markets, ensuring precision, adaptability and strong alignment with commercial priorities. Partner closely with local Supply Chain and commercial teams, along with regional stakeholders, to translate market insights and growth plans into data-driven and executable forecasts. Play a leading role in campaign readiness and strategic planning, while continuously enhancing and scaling sales planning SOPs to elevate our performance and operational maturity across the region. Planning & Replenishment Execution Act as the central driver of planning and replenishment alignment, ensuring operational consistency across all markets. Champion the effective use of internal planning systems and data-driven demand methodologies to enable informed decision-making. Partner with local teams and tech functions to fine-tune replenishment models, optimize planning parameters and resolve executional challenges swiftly. Inventory Health & Performance Management Oversee critical inventory health metrics, including days of inventory, aging, overstocks and wastage, with a sharp focus on minimizing losses and maximizing inventory efficiency. Lead performance reviews to ensure visibility, accountability and alignment on key inventory metrics across all markets. Play a pivotal role, partnering with local commercial and sales planning teams to enable precise SKU-level forecasting, real-time campaign visibility and actionable post-campaign performance insights through post-mortem reviews. Supply Chain Integrity & Data Accuracy Act as a key guardian of Supply Chain data integrity by supporting local teams in resolving operational and system-related issues across our regional network. Collaborate with supporting functions to troubleshoot and maintain the accuracy of critical systems managing inventory synchronization, presell stock, COGS calculations and product master data. Oversee essential control points, such as product exclusions and warehouse inventory grouping, to ensure clean, reliable data and efficient, resilient Supply Chain operations. Regional Capability Building Deliver targeted trainings that empower local Supply Chain teams with best practices, shared learnings and continuous improvement mindsets. Lead onboarding and capability-building initiatives for local sales planners to foster consistency and capability uplift regionally. System Enhancement Rollout Lead the end-to-end rollout and optimization of internal retail Supply Chain systems and tools. Translate complex operational needs into clear, actionable system requirements in collaboration with local operations and regional product. Drive key initiatives, from BRD preparation and UAT to implementation and performance monitoring, ensuring all tools are scalable, intuitive and aligned with our strategic goal.

Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS) and shape the future of human-AI collaboration? Join us in helping customers across all industries to maximize the value and benefits of AWS Generative AI services while pioneering innovative AI agent solutions that transform how we work. As a Technical Account Manager (TAM) specializing in Generative AI in AWS Enterprise Support, you will play a crucial role in two transformative missions: guiding customers' AI initiatives across AWS's comprehensive AI/ML portfolio, and spearheading the development of collaborative AI agents that revolutionize TAM operations. This is not a sales role, but rather a unique opportunity to serve as both an AI transformation advisor and innovation leader, working with organizations ranging from start-ups to Fortune 500 enterprises. Within the Enterprise Support team, TAMs focusing on Generative AI contribute significantly to ensuring the success of key enterprise customers in their AI journey while also driving internal innovation. As a strategic expert, you'll architect AI solutions, guide technology adoption, and pioneer new ways for humans and AI to work together. This support extends from strategic planning to implementation guidance, while simultaneously developing internal AI agent solutions that showcase the art of possible in human-AI collaboration. Every day will bring new and exciting challenges on the job while you: - Act as a strategic advisor for customers' Generative AI initiatives and internal AI agent innovation - Drive the development and implementation of collaborative AI agents within the TAM organization - Lead technical discussions around AWS AI services including Bedrock, Claude, and Amazon Q. - Make recommendations on AI architecture, security, cost optimization, and operational excellence - Champion internal AI agent success stories to inspire customer innovation - Complete analysis and present periodic reviews of AI workload performance - Guide customers in developing responsible AI practices while ensuring security and compliance - Foster an ecosystem where AI and humans progress together through knowledge sharing - Work with AWS AI/ML service teams to advocate for customer needs - Participate in customer requested meetings (onsite or via phone) - Work directly with Amazon Web Service engineers to ensure rapid resolution of AI-related issues - Available in non-business hours to handle urgent issues Location: Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong (HK visa sponsorship available)

• You will develop relationships with key customer IT and business decision makers, to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value.  • You will understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor.   • You will ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners.  • You will develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP).  • You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate.  • You will maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.  • You will accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications. Proactively identify gaps through delivery and communicating those gaps to others (e.g., Leadership, managed intellectual property [MIP], Design, and Governance). Applies subject matter expertise to develop new IP that fills identified gaps  • Drive Azure consumption through accurate and complete Azure Consumption Plans and support Unified/Factory delivery models. • Lead technical workshops, build MVPs, and guide customers through production deployments. • Collaborate with internal teams to remove blockers and share customer feedback. • Evangelize Azure technologies within customer, partner, and community ecosystems. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the Customer Success Account Managers.  • Provide delivery oversight and escalation support for key consumption engagements across Data & Analytics workloads.  • Drive technical excellence by leading the health, resiliency, security, and optimization of mission-critical data workloads, ensuring readiness for production-scale AI use cases.  • You will identify resolutions to issues blocking go-live of migration and modernization projects by leveraging Azure Infrastructure technical subject matter expertise and lead technical conversations with customers to drive value from their Microsoft investments and deliver all work according to MS best practices and policies.  • You will demonstrate a self-learner mindset through continuous alignment of individual skilling to team/area demands and Customer Success goals as you accelerate customer outcomes and engage in relevant communities to share expertise, contribute to IP creation, prioritize IP reuse and learn from others to help accelerate your customers transformation journey.  • Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB.  Technical leadership  • Design the solution using your Data Platform technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive proof of concepts (POCs)/production deployments to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.   • Data Platform technologies, including SQL Server, Azure SQL Database, and Azure Cosmos DB, as well as Analytics, Data Warehousing, and Data Engineering scenarios. Focus on Intelligent Data and Analytics Platforms such as Synapse, Lakehouse architecture, Fabric, Azure Databricks, and Power BI. Stay informed on market trends and competitive insights and actively collaborate and share knowledge within the Data & AI technical community.  • Experience in Azure architecture design, Azure IaaS, Azure SQL Database, Azure SQL Managed Instance, High Availability, service resilience and distributed systems.  • Experience as a Database Administrator, data platform design, SQL Server at scale, on-premises to Azure migrations, complex SQL Server troubleshooting, performance tuning and optimization, scaling OLTP and OLAP workloads, and securing SQL Server on-premises or in Azure   • Experience with High Availability/Disaster Recovery solutions such as Failover Clustering, Database Mirroring, Always-On Availability Groups, and Replication   • Use trace analysis, debug skills, source code, and other proprietary tools, to analyse problems and develop solutions to meet customer needs; this may involve writing code   • Consultative experience along with presentation skills with a high degree of comfort with both large and small audiences  • Learns to identify and communicate areas in intellectual property (IP) that need refreshing or have gaps. Contributes to IP development with guidance/supervision.  • Demonstrates strong industry knowledge and increases recognition for Microsoft solutions by contributing to and sometimes leading presentations and engagements with external and internal audiences (e.g., Tech Connect, Build, Ignite) 

• Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. • Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. • Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. • Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. • Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. • Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. • Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. • Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. • Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. • Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. • Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.