Construction Cost Engineering Manager , Cost Engineering, Global Procurement Organization

Construction Cost Engineering Manager, Cost Engineering, Amazon Global Procurement Organization

Job :  |  Services LLC

Amazon builds fast — and behind every new Fulfilment Center, Sortation Center, and Delivery Station is a cost estimate that had to be accurate, defensible, and ready when decisions need to be made. We're looking for a Cost Engineering Manager who will deliver construction cost engineering services to Amazon's North America Design & Construction stakeholders — producing the estimates, cost models, and analytical outputs that inform capital investment decisions across Amazon's NA infrastructure network.

This role is high-impact, high-variety, and technically demanding. You'll deliver a range of estimates across a diverse portfolio of NA building types and project scopes — from multi-site retrofit programs to one-off capital projects — where site conditions, design parameters, and scope ambiguity make every engagement a unique analytical problem. You'll work from early concept sketches through bid-ready construction documents, applying construction domain expertise to produce cost intelligence that directly shapes business outcomes.

The core deliverable is construction cost estimates — and the role is within Amazon's Global Procurement Organization, Sourcing Excellence pillar, which means you'll also have the opportunity to expand into broader cost engineering disciplines: should-cost modeling that anchors supplier negotiations, and value engineering initiatives that challenge specifications and drive design-to-cost outcomes. You will work closely with AI and Market Intelligence Solutions, leveraging AI-powered tools daily to accelerate analysis, build scalable costing datasets, and contribute to the development of next-generation automation that multiplies the team's reach.

• Deliver independent, bottom-up construction cost estimates for NA Design & Construction stakeholders across Amazon's building portfolio — spanning retrofit, expansion, and new-build scopes across multiple building types and network segments.
• Develop cost estimates from early-stage concept inputs through RFP-ready construction drawing sets, adapting methodology and analytical depth to available information at each project phase.
• Build and maintain programmatic estimating templates for multi-site programs (such as interior renovations, mechanical system replacements) where scope consistency allows template-driven efficiency.
• Produce one-off bottom-up estimates for projects where unique site conditions, non-standard design, and scope ambiguity demand deep analytical judgment (such as automation retrofits, site hardening, ad-hoc retrofit requests).
• Generate high-level ROMs for early-stage project exploration when data is limited and design direction is still evolving.
• Leverage AI-powered tools as a default part of your workflow — using automation for data gathering, cost benchmarking, and pattern recognition while applying expert judgment on complex, ambiguous scopes.
• Contribute to the development of scalable AI solutions by curating project data, validating model outputs, and identifying where automation can absorb routine estimation work.
• Collaborate with preconstruction managers, design engineers, and category managers to gather site-specific inputs, validate assumptions, and communicate cost risks.
• Peer review estimates and cost models produced by teammates to ensure consistency, accuracy, and alignment with current market pricing.
• Maintain and update cost data libraries as required with latest market bids, labor rates, and material pricing to keep cost intelligence grounded in reality.
• Over time, expand into should-cost modeling, benchmarking, and value engineering activities on construction projects as part of the broader Cost Engineering services within Sourcing Excellence pillar.

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, cost estimation, market intelligence, and cost driver decomposition — to deliver transparent, fact-based…