Area Manager, AMZL, Trans Vol, AMZL Intra-Week Planning
This AM role requires the skills to decide independently which actions to take for short term decisions and limited supervision for medium long term. These decisions impact the EU AMZL capacity management, Speed and productivity, influencing 24HR, 48HR and Same Day (SD) Out For Delivery (OFD) WAPE.
Area Managers in AMZL Trans Vol will lead a team of up to 20 associates on shift, and +6 direct reports, serving as problem solver and primary escalation point for the team and other stakeholders. They will also provide periodic updates to Program Managers about status of the operation or any major escalations, maintaining a full understanding of workflow and daily metrics goals, allocate labor and train new associates, drive continuous improvement, and enforce SOP compliance and SLAs response times.
Key job responsibilities- Develop and maintain strong communication processes to ensure smooth and efficient flow of accurate information across Amazon teams
- Providing visibility on actions and reasoning to earn trust from stakeholders.
- Remaining impartial to focus on the bigger picture without bias
- Scale services, tools, and processes that will enable the business growth in Trans Vol footprint, complexity, and geographic dispersion while still maintaining a high bar for the customer experience
- Work closely with the Supply Chain team in areas including Sales and Operations Planning, DSPM an Ops leadership to align and execute the strategy at DS and country level.
- Work with technical and business teams to optimize planning, execution, process improvement and track progress against goals
- Identify, assess and mitigate risks, drive resolution of critical issues, provide escalation management, anticipate and make trade-offs, proposing corrective actions to keep initiatives moving forward
- Maintain and report up to date and accurate KPIs, management reports and analysis (DBR/WBR/Intra-week reports)- Bachelor's degree or above in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience in problem solving and data analytics
- Experience in capacity planning, operations planning, business analysis or similar
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Speak, write, and read fluently in English
- Knowledge of Microsoft Excel (macros, pivots, lookups) at an advanced level- Experience with operations/supply chain
- Experience with SQL and Python scripting
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