亚马逊Sr. Sourcing Manager

1. Manage the Social Responsibility (SR) audit workflow ensuring all active suppliers under Softlines Private Brands (SPB) are qualified for production. Resolve open issues with suppliers, escalate egregious issues to the business owners, and invent mechanisms to improve efficiency of our SR audits. 2. Vet, track, maintain, and improve standard operating procedures for day to day SR execution (audit scheduling and management, corrective action planning and remediation), including simplifying processes and eliminating process gaps (e.g., mismatched supplier data between Private Brands and Social Responsibility systems). 3. Identify potential SR risks with global suppliers from historical audit results and the consolidated SR performance scoring system. Work with central Amazon SR team to implement supplier engagement programs with selected SPB sites and track the SR performance improvement to evaluate program effectiveness. 4. Build, run, and maintain connection mechanisms with sourcing managers, APB Sustainability, and Amazon Social Responsibility team.

• Own fabric quality KPI metrics, continuously monitoring and deep diving data to proactively identify opportunities for improvement at the raw material and supplier level; Implement preventative actions and process improvements. • Lead reactive root cause analysis to quickly identify, diagnose and remediate bulk fabric quality defects identified through ongoing physical surveillance, minimizing risk to inventory outages. • Manage nominated mill relationships, establishing mutual goals in line with Softlines Private Brands overall raw material sourcing strategy • Identify and assess new nominated mill onboarding opportunities based on country-of-origin diversification, fabric development and risks mitigation needs. • Prepare and manage factory assessment/audit, qualification and onboarding execution. • Regularly monitor nominated mill fabric production, ensuring on time deliver to garment vendors. • Travel internationally to visit fabric suppliers and garment vendors, auditing production processes and providing feedback for improvement and increased efficiency.

Key Responsibilities: Team Building & Leadership • Build and manage a high-performing team to drive player growth by developing core publishing capabilities in performance marketing, channel strategy, lifecycle product features. • Lead, mentor, and support the career growth of your team while ensuring their work meets expected quality bars and discipline standards. • Champion cross-discipline collaboration with Game Dev, Publishing, and Shared Services partners to deliver integrated, high-value outcomes for players. International Publishing PM • Partner with Regional Publishing Product Leads (RPPLs) to shape market strategies, business reviews, and cross-regional initiatives. • Act as the connective tissue between regions and global publishing, ensuring alignment, scaling best practices, and driving operational excellence. • Hold teams accountable to clear win conditions and ensure regional plans complement global campaigns while unlocking authentic local player engagement. IP / Brand Partnerships • Drive the strategy and execution of global brand and IP partnerships that elevate the Wild Rift player experience. • Serve as the primary deal owner for external collaborations, from sourcing through execution. • Work cross-functionally with Partnerships, Development, Brand, Creative, and regional teams (including Tencent) to align opportunities, ensure seamless execution, and maximize impact. Collaborate with Game Teams • Serve as a key publishing voice in game strategy discussions, ensuring that publishing insights are integrated into the broader game roadmap • Be a core contributor to Wild Rift’s key moments strategy, defining and delivering high-impact login moments and engagement beats for players worldwide. • Partner with Insights & Research teams to define publishing insights needs, with a focus on performance marketing and audience understanding to strengthen growth and lifecycle management.

· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. · Apply Statistical and Machine Learning methods to specific business problems and data. · Create global standard metrics across regions and perform benchmark analysis. · Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. · Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. · Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. · Develop efficient data querying and modeling infrastructure. · Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. · Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.