Ever wondered what it takes to build Amazon's massive global network and how we make sure every dollar spent on construction delivers maximum value?
We're looking for a Senior Cost Engineering Manager who will own cost engineering on large-scale construction projects and help shape the future of AI-powered cost intelligence. This isn't a back-office analytics role. You'll be influencing multi-million-dollar supplier negotiations, presenting to senior leadership, and supporting the building of tools that will transform how Amazon Global Procurement Organization models, negotiates, and manages construction costs worldwide.
Construction is one of our largest and most complex procurement categories. Every project is different. Unique site conditions, local labor markets, permit requirements, and material constraints mean that each costing cycle demands a fresh bottom-up deep dive: decomposing cost structures, stress-testing assumptions against local market realities, and building analytics that reflect the true cost drivers of that specific build. You'll bring deep construction industry expertise and pair it with a forward-looking mindset, co-creating AI-driven tools that scale your impact far beyond individual projects.
Key job responsibilities • Lead end-to-end should-costing on large-scale construction projects by reverse engineering supplier pricing to determine the true cost of constituent parts, labor, manufacturing, assemblies, overheads, and expected profit margins
• Build reliable bottom-up cost models that simulate the industry benchmark with fact-based calculations, serving as anchoring price targets in negotiation
• Challenge supplier quotations with rigorous technical analysis, forcing transparency into supply chain cost structures and driving meaningful cost reductions
• Present should-cost findings and recommendations to senior leadership, acting as a trusted internal consultant on construction cost matters
• Co-develop AI-powered costing tools and feed scalable datasets alongside our AI & MI solutions team
• Coordinate with other Sourcing Excellence pillars and Capabilities (e.g., Value Engineering, Construction Cost Estimation, Market Intelligence) across multiple regions as we expand our global should-costing footprint
• Establish and evolve should-cost methodologies during design and specification phases, collaborating with category managers, engineers, and construction teams
• Advise stakeholders on cost impacts of specification changes and identify design-to-cost opportunities with suppliers, working closely with Value Engineering team
• Define KPIs and scorecard metrics (e.g., gap-to-should-cost) that track supplier cost performance and strengthen long-term partnerships rooted in fairness and mutual understanding
• Drive change management as you introduce new costing approaches across procurement and the supply base
About the team Cost Engineering answers one fundamental question for Amazon: Are we paying the right price? We combine deep technical expertise with advanced analytical methodologies (should-cost modeling, market intelligence, and cost driver decomposition) to deliver transparent, fact-based insights that empower procurement teams to negotiate with confidence. Our vision is to make cost transparency a strategic capability across the organization, ensuring every procurement decision reflects what something should cost, not just what the market offers. We cover billions in managed spend across Amazon Global Procurement Organization with cost engineering, driven by exponential growth since the team formation in 2022.
Basic Qualifications
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- Experience being responsible/leading large and complex negotiations
- Demonstrated supply chain experience
Preferred Qualifications
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- AI & Automation: Experience in leveraging AI, machine learning, or advanced analytics to improve cost modeling, automate procurement workflows, or build scalable datasets. You don't need to be a data scientist, but you should be comfortable working alongside AI teams, curating training data from real-world projects, validating model outputs, and identifying where intelligent automation can multiply your impact. A track record of enabling (not just consuming) AI tools in a procurement or engineering context is a strong differentiator.
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