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 Value Engineering Manager who will own cost engineering and value 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 support building the tools that will transform how Amazon Global Procurement Organization models, negotiates and manages construction cost 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
Deliver independent, bottom-up construction cost estimates for North America Design & Construction stakeholders across retrofit, expansion, and new-build projects spanning multiple building types and fulfillment network segments.
Develop cost estimates from early-stage concepts through RFP-ready construction documents, selecting appropriate methodologies and analytical depth based on project maturity and available information.
Own estimating strategies for repeatable multi-site programs by developing scalable templates while producing detailed bottom-up estimates for complex, site-specific projects requiring advanced analytical judgment.
Generate conceptual ROM estimates to support early project planning, business case development, investment decisions, and funding approvals.
Lead should-cost modeling, benchmarking, and Value Engineering analyses to identify cost optimization opportunities while preserving design intent, quality, constructability, schedule, and operational requirements.
Leverage AI-powered tools to improve estimating efficiency through automated data gathering, benchmarking, and cost analysis while applying engineering judgment to validate outputs and resolve complex or ambiguous scopes.
Drive development of scalable AI-enabled estimating solutions by curating project and market cost data, validating model performance, and identifying opportunities to automate routine estimating activities.
Partner with preconstruction managers, design engineers, sourcing teams, category managers, and business stakeholders to validate assumptions, communicate cost risks, evaluate alternatives, and influence cost-informed decisions throughout project development.
Establish estimating best practices through peer reviews, continuous improvement initiatives, and maintenance of current labor, material, equipment, subcontractor, and market pricing databases to ensure consistent, accurate, and defensible cost models.
About the team
The Sourcing Excellence team helps Amazon answer two fundamental questions: Are we buying the right product? (Value Engineering) and Are we paying the right price? (Cost Engineering). Value Engineering ensures Amazon is investing in the right solutions by optimizing specifications, design, materials, and performance to maximize business value while meeting operational requirements. Cost Engineering establishes cost transparency and price confidence through bottom-up cost estimation, should-cost modeling, benchmarking, market intelligence, and cost driver analysis to determine what products and services should cost.
Together, these disciplines provide transparent, fact-based insights that enable informed sourcing, design, and investment decisions throughout the project lifecycle. Our vision is to make cost and value transparency a strategic capability across the organization, ensuring every investment delivers the optimal balance of cost, quality, performance, and operational requirements. Today, the team supports billions of dollars in managed spend across multiple global categories and continues to scale its impact through AI-enabled solutions, standardized mechanisms, and cross-functional partnerships.