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Construction Cost Engineering Manager , Cost Engineering, Amazon Global Procurement Organization
- Houston, Texas, United States
- Houston, Texas, United States
À propos
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.
Key job responsibilities:
- 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
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, cost estimation, market intelligence, and cost driver decomposition to deliver transparent, fact-based insights that empower Amazon teams to make decisions with confidence. Our vision is to make cost transparency a strategic capability across the organization, ensuring every procurement and business decision reflects what something should cost, not just what the market offers. We cover billions in managed spend across multiple categories globally with exponential growth since the team formation in 2022.
Compétences linguistiques
- English
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