Capacity Planning Manager, AMZL EU UTR Capacity Planning

The goal of Amazon Logistics is to build a world class last mile delivery operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost effective way possible.

The Capacity Planning Team provides AMZL with safe, cost-optimal and flexible capacity solutions for on-road operations, year-round and enabling the business to scale for seasonal peak demand increases. This role is based out of the Lux corporate office (LUX20). The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and has experience in driving execution in a cross-functional environment, backed by well defined analysis and research. They thrive in a fast-paced environment, relish working with data, and enjoys the challenge of solving complex and ambiguous problems.

This candidate will own defining and ramping programs to integrate new programs, business lines and delivery channels into the central AMZL UTR capacity planning cadence and process. You will identify the needs of the business, establish the product requirements and technology requirements to integrate the same, define a charter and execute this strategy end-to-end from inception to implementation. You will analyse gaps, iterate and improve future plans, while working across-functions and building key relationships to ensure that decisions and plans being made and execute, all come together for the benefit of the end customer and enables the AMZL operations to run as effectively as possible. You will challenge the unknown and strive for continuous improvement in key areas of our business.

A successful candidate enjoys problem solving, is comfortable accessing and working with big data from multiple sources, and is enthusiastic about partnering with other teams across the business to deliver results. You should have an internal drive to challenge the status quo, excellent analytical skills, as well as excellent written and verbal communication skills. You should be a self-starter, comfortable with ambiguity, naturally curious, and be involved in the details.

Key job responsibilities
Responsibilities include:

- Drive optimisation of key Capacity Planning metrics, to delight our customers on both performance and cost, by delivering projects to improve demand & supply planning, support systems and tools development
- Identify and develop programs to address area of opportunity for standardisation and efficiency improvement within the end to end last mile supply chain
- Support programs across multiple work stream, ensuring teams execute daily and weekly cadence while also delivering key programs on time
- Engage and earn trust of operational leaders across EU Amazon Logistics to help drive standardisation of process and execution framework
- Develop cross-functional relationships with first, middle mile, fulfilment and central teams to drive overall EU operations alignment
- Partner with central tech and expansion teams to facilitate the translation of business requirements into technology requests, and ensuring that UTR capacity planning has access to the best in class management platforms
- Implement a culture of continuous improvement through proven methodologies
- Establish scalable hiring processes that meet the needs of a multi-site operations with a broad set of skills and language requirements

BASIC QUALIFICATIONS

- Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business
- Experience working in a program management capacity and/or leading large-scale complex projects
- Experience defining and executing program requirements and using data and metrics to determine improvements
- Experience managing multiple internal stakeholders and advising cross-functional teams
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in managing and troubleshooting network

PREFERRED QUALIFICATIONS

- Experience leading cross-functional projects and managing large, complicated programs
- Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Experience identifying and solving complex problems through data analysis
- Experience working in a high-stress environment
- Strong data manipulation background and ability to work with numbers on a daily basis; Experience with analysing big data sets
- Ability to Deep Dive and develop innovative ideas for process challenges.