Construction Cost Engineering Manager , Cost Engineering, Amazon Global Procurement Organization
Amazon · Nashville, TN · 3 wk ago
EngineeringFull-time
About the role
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.
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
- Generate 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
- 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
Qualifications
- Bachelor's degree in Architecture, Construction Management, Engineering, or a related field
- Experience as an Architect, Engineer, Construction Manager, Development Manager, Owner's project management representative or in other Commercial Development and Construction related disciplines
- Experience operating within at least two disciplines within the construction industry, such as Contracting, Owners Representation, Architecture, Design and Engineering, Commercial Development, analysis and control of construction costs or similar
- Experience in project management in construction and contracts management
- Comfortable working with AI and automation as a default part of your workflow — not as an experiment, but as how things get done
- Experience contributing to AI tool development in an estimating or procurement context is a strong differentiator
- Data Management & Cost Estimation Software Experience managing structured cost data and supporting back-end estimation workflows — organizing inputs, maintaining cost libraries, and ensuring data integrity across project portfolios
- Proficiency with CostX or equivalent takeoff and cost modeling software is strongly preferred
- Familiarity with Amazon's internal estimating systems and tools is a plus but not required; what matters most is a demonstrated ability to pick up new platforms quickly and maintain discipline in data management practices