Cost Analyst, AWS AI​/ML Supply Chain

Overview

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We’re the people who keep the cloud running and support data centers, servers, storage, networking, power, and cooling equipment to ensure customers have continual access to innovation. We work on 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 deliver high standards for safety and security while providing substantial capacity at the lowest possible cost. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

AWS provides a highly reliable, scalable, and low-cost cloud platform powering thousands of businesses in over 190 countries. The Infrastructure Supply Chain (AIS-SC) organization delivers advanced solutions to source, build, and maintain AWS data center supply chains. We are a team of motivated professionals who enable the core sustainable infrastructure of AWS. Join us as we deliver results for the largest cloud services company on Earth.

AWS Supply Chain is seeking a highly effective candidate to design and implement innovative solutions that deliver the best operating and lowest cost infrastructure in the world. This individual will partner with supply chain and engineering owners to aggregate the costs of critical AI/ML hardware and report the latest cost status to senior leadership. They will work with product managers and engineering to stay up-to-date with engineering changes and be the single-threaded owner for reporting costing information in leadership reviews.

The role involves influencing and partnering with cross-functional teams including hardware engineering, supply chain, quality, and operations.

A successful candidate will have experience managing complex technical BOM costing, tracking large cost-reduction activities, and navigating constant hardware design changes. They should be comfortable in a highly ambiguous setting and will combine supply chain expertise with the ability to program manage cross-functional teams and operate at all organizational levels, including senior executives.

Key responsibilities and expectations include owning cost reporting and governance for AI/ML products, ensuring cost roll-ups reflect engineering changes, and communicating cost status to leadership.

• Operate as the single-threaded owner from supply chain for rolling up material costs for strategic AI/ML products.
• Work cross-functionally to gather feedback from supply chain, engineering and product managers and ensure latest cost roll up reflects known engineering changes.
• Own cost reduction roadmap by engaging owners across commodities. Successfully communicate this to leadership through written and verbal updates.
• Deliver AWS’s cost objectives through detailed understanding of all cost drivers and bill of material reviews.
• Inform and influence senior leadership about business status, risk and opportunities via written narratives.
• Prepare and present detailed data-driven business reviews with senior management, focused on procurement/sourcing execution and continuity of supply.

Basic qualifications

• 5+ years of relevant strategic sourcing including vendor negotiations, global contract management, process improvement, operational and financial analysis experience
• Bachelor's degree in Supply Chain, Business, Engineering, Finance, or a related technical field

Preferred qualifications

• 5+ years of program, project, product management, or leading a product implementation process experience
• Master's degree in Business Administration, Finance, Economics, Computer Science, or a related field
• Experience in program, project, product management, or leading a product implementation process
• Experience in data centers, infrastructure service providers, or related technology companies
• Experience with data analysis tools…