Sr Process Capacity Engineer, AMZL WW Process Engineering

The WW Process Capacity Engineer works cross-functionally and responsible for a variety of topics related to mechanical capacity management in the Process Engineering domain. The role's scope spans across different planning horizons, from short to long term, and collaborates closely with stakeholders across multiple business functions: Operations, Engineering, Launch & Expansion, Design and Planning.
The WW Process Capacity Engineering team is seeking an accomplished, analytical, hands-on and customer obsessed Process Capacity Engineer to join the team. You will be responsible for 4 core functions: (1) Own capacity calculation, drive insights & optimization for all planning cycles (3-Year Plan, Operational Plans (OP1/OP2) and High-Volume Events planning). (2) Own operations clock design, maintenance and improvement for your respective region/country. (3) Support and validate launch and retrofit assessments. (4) Forecast demand and manage supply for Volume-Driven Equipment.
The role is inherently cross-functional. You will have an opportunity to work with program managers, process engineers and operations leaders to define, improve and optimize the mechanical capacity of our delivery stations across the WW network. To be successful in this role, you should be able to work in a dynamic environment, think big and be comfortable navigating complexity and ambiguity. This position requires deep customer focus, strong self-drive and strong analytical skills. You will need to be detail-oriented without losing sight of the big picture and business goals. You should have strong communication skills, be comfortable in analyzing data to provide data-driven recommendations, and be able to partner with stakeholders to arrive at the best result for our customers.

This role is based in Sao Paulo and requires occasional travel.

Key job responsibilities
- Own the monthly and yearly cadence of mechanical capacity planning cycles for a particular country/region.
- Analyze and make design recommendations for stations' mechanical capacity to meet customer demand.
- Own analysis of performance against plan/forecast to drive continuous improvement.
- Forecast demand and manage supply of Volume-Driven Equipment needs.
- Lead dedicated programs to benchmark speed and capacity opportunities in the region.
- Support reporting cycles for Process Engineering/Capacity as well as High Volume Events in partnership with Peak Captains and Ops leaders
- Provide actionable insights from strong analysis of large amounts of data
- Apply best practices from and share best practices with WW counterparts.

A day in the life
Your day could include engagement with all levels of the organization and multiple stakeholder groups to drive short, mid and long term decisions that have large-scale impact across the AMZL network. You will use our internal tools to produce capacity calculations and varying levels of granularity and generate insights for operational and strategic decision making. You will work independently but as part of a team with similar responsibilities for other regions/topics. Your scope will alternate between a single country and WW, depending on the topic at hand.

About the team
The AMZL WW Process Engineering team partners closely with AMZL Operations and support functions to identify, design and develop best-in-class process infrastructure and process layouts, and to deliver them as AMZL network standard infrastructure. To enable this, the team supports prioritization of regional and WW continuous improvement initiatives in addition to cross-regional benchmarking. Irrespective of home location, all team members work on a mix of regional and WW initiatives.

- Bachelor's degree;
- Experience in a similar role in an industrial, logistics, production/manufacturing environment;
- An expert in the use of Excel;
- Quantitative and qualitative analytical skills;
- High level of written and verbal communication skills in English.

- Basic level programming of at least one programming language (R, Python, C, etc.);
- SQL level proficiency;
- Excellent Project Management skills;
- Advanced data analysis skills.

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