Back to jobs
Sr Capacity Engineer, AMZL EU&RoW Process Engineering
London, England, GBRPosted Yesterday
FULL_TIMEonsite
Job Description
The 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 Capacity Engineering team, within the wider Process & Design Engineering team, is seeking an accomplished, analytical, hands-on and customer obsessed 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 AMZL EU&RoW 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.
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 across regions.
- 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 at 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 across countries, depending on the topic at hand.
About the team
The AMZL EU&RoW Capacity Engineering team partners closely with AMZL Operations and support functions to understand safe-guard and optimise AMZL's equipment capacity infrastructure. To enable this, the team supports innovation and continuous improvement initiatives, as well as regular strategic planning cycles . Irrespective of home location, all team members work on a mix of regional and cross-regional initiatives.
The 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
- Bachelor's degree or above in engineering, project management, operations, logistics, supply chain or related field
- Experience in capacity planning, operations planning, business analysis or similar
- Experience creating and improving processes
- Experience with project management
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
- Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
- Experience building and operating a cloud-based architecture
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Master's degree or above in computer science, machine learning, engineering, or related fields, or experience in defining and creating benchmarks for assessing GenAI model performance
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The Capacity Engineering team, within the wider Process & Design Engineering team, is seeking an accomplished, analytical, hands-on and customer obsessed 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 AMZL EU&RoW 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.
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 across regions.
- 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 at 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 across countries, depending on the topic at hand.
About the team
The AMZL EU&RoW Capacity Engineering team partners closely with AMZL Operations and support functions to understand safe-guard and optimise AMZL's equipment capacity infrastructure. To enable this, the team supports innovation and continuous improvement initiatives, as well as regular strategic planning cycles . Irrespective of home location, all team members work on a mix of regional and cross-regional initiatives.
The 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
- Bachelor's degree or above in engineering, project management, operations, logistics, supply chain or related field
- Experience in capacity planning, operations planning, business analysis or similar
- Experience creating and improving processes
- Experience with project management
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
- Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
- Experience building and operating a cloud-based architecture
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Master's degree or above in computer science, machine learning, engineering, or related fields, or experience in defining and creating benchmarks for assessing GenAI model performance
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.