Amazon

Commissioning Coordinator, Data Center Capacity Delivery Commissioning APJC

Job Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud growing. We support all AWS data centers critical infrastructures, power and cooling equipment supporting all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety, security and quality while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Are you experienced in driving operational excellence? Data Center Capacity Delivery Commissioning (DCCD Cx) is looking for an exceptional individual to join our Commissioning organization as the Commissioning Coordinator. As a Commissioning Coordinator, you will provide operational and procurement support. You will support procurement of services, funding request, budget forecast, vendor management and manage knowledge database. Your efforts will support intelligent teams of commissioning professionals to deliver data center capacity across Amazon's growing business in APAC. You will utilize business acumens to identify inefficiencies in workflows, using artificial intelligence and automation to streamline day-to-day operations in globally. Working backwards from our customers, we innovate and are committed to deliver customer satisfaction, delivering faster with improved quality without compromising safety.


Key job responsibilities
Operational Excellence
• Identify gaps, measure inefficiencies/impact, propose actions, measure success and iterate
• Identifying gaps and creating system SOPs to drive efficiencies and eliminate non-value-add activities, removing blockers, and driving automation
• Implement and communicate change management
• Develop and manage document repositories, and knowledge database

Financial Coordination
• Manage end-to-end project finances workflows and procurement
• Report project variance and identify root cause of cost escalations

Project Support
• Set up projects submittals and inspections mechanism
• Report safety, quality, financial, resourcing metrics
• Manage suppliers and supplier business reviews

A day in the life
You will use experience and understand technologies available to streamline existing workflows, apply project management skills to triage, prioritize, manage and deliver cross functional teams requests. You will work backwards from customers and stakeholders, and incorporate their context into workflows. You will define and clarify business procedures and process requirements. You will help the team and stakeholders reach consensus through productive discussions and time-bound deliverables. Your verbal and written style are clear, concise and timely. You will prioritize to meet timelines and relentlessly seek efficiencies, asking how do you know your customers are satisfied?

About the team
The AWS Data Center Capacity Delivery Commissioning Team (DCCD Cx) is an independent critical infrastructure validations team within the Data Centre Capacity Delivery (DCCD) organization. This team of professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Project Managers, Operators and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues in new builds and upgrade projects, whilst identifying opportunities for all our peers and customers.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- Bachelor's degree in Electrical Engineering or a related field
- 2+ years of program or project management experience
- Experience running an effective operational excellence program
- Experience with budgeting, forecasting and variance analysis


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