Senior Process Improvement Specialist, EU AMXL FM/MM Innovation Team

Senior Process Improvement Specialist, EU AMXL FM/MM Innovation Team

Job ID: Amazon UK Services Ltd.

As a Senior Process Improvement Specialist, you'll join our dynamic AMXL First Mile & Middle Mile (FM/MM) Operations team, where innovation meets execution. In this pivotal role, you'll collaborate with a diverse network of stakeholders-from field operations teams to technology partners-to improve our operational processes.

This role offers an opportunity to help scale the AMXL FM/MM Innovation Team during a period of extraordinary growth, making a lasting impact on our operational efficiency and effectiveness. You'll be at the forefront of driving transformative change in a rapidly evolving industry landscape.

Key job responsibilities

• Gathering and analyzing data and best practices to benchmark new standards for operations, while identifying, mitigating, or eliminating root cause issues within current systems to ensure successful, cost-effective, and scalable operations.
• Defining, identifying, and documenting best practices into accessible SOPs, standard work checklists, and other relevant materials to support the AMXL FM/MM operations teams.
• Scoping, creating, and managing cross-functional projects that drive results while maintaining alignment with internal stakeholders.
• Owning program status and risk communication, harmonizing discordant views, and leading the resolution of contentious issues by collaborating with internal customers to determine project priorities and outcomes.
• Collaborating on and overseeing new AMXL 3PL launches to drive the effective integration and adoption of processes and ways of working.
• Conveying direction to all levels within the organization and senior leadership through excellent communication and presentation skills.

A day in the life

As a Senior Process Improvement Specialist, you will partner with program managers, business owners, and tech teams to identify operational requirements and shape feature roadmaps. You'll lead complex process improvement initiatives from conception to implementation, navigating ambiguous situations while managing costs and risks. Your expertise will be crucial in designing and deploying scalable solutions that drive sustainable operational excellence, all while building strong partnerships across multiple organizational levels.

About the team

Amazon Extra Large (AMXL) handles heavy items like furniture and large home appliances. Our team manages the entire service, from supply chain fulfillment to delivery and returns. We provide an extra level of customer care by delivering, unpacking, assembling, installing, and removing old items as needed. Focused on safety, productivity, and innovation, we're transforming how customers buy and receive large goods.

We plan to expand our fulfillment centers and delivery stations across the UK and Europe. Most team members work during the day, with some night shifts in delivery stations. Our team includes professionals in operations, supply chain, business intelligence, and program management, all vital to growing this part of the business.

BASIC QUALIFICATIONS

• A Bachelor's Degree
• Experience within a 3PL logistics provider, supply chain, logistics, distribution, or operations environment in an international company.
• Experience in process improvement and Lean Six Sigma application.
• Experience working with key stakeholders to drive decisions and meet key deliverables.
• Experience managing and delivering projects within scope, time, budget, and quality.
• Project Management experience in a related industry.
• Proficiency in MS Suite including Access, Excel, PowerPoint, Outlook, and Word.
• Strong verbal and written communication skills in English.

PREFERRED QUALIFICATIONS

• MBA, MS, or MA in Business, Logistics, or Supply Chain.
• Experience leading Kaizen or continuous improvement events.
• Strong business and financial acumen with data extraction, analytical, and problem-solving skills; ability to work with large, complex data sets and familiarity with statistics or other analytical techniques.

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