Sr Construction Category Analyst II, Syracuse or Boise

We represent a global, cross-functional team including Procurement, Facilities & Construction, Facilities & Process Engineering, Project Controls/Contracts, Accounting, Operations, and Business Analytics. Our mission is to boost CapEx predictability, fortify commercial rigor, and advance measurable cost performance across semiconductor fab construction, contamination-controlled spaces, chemical plant structures, and process support utilities. We facilitate fact-based decisions through refined analytics, supplier intelligence, and uniform commercial procedures.

The Staff Construction Category Analyst directs worldwide construction cost assessment, should-cost/clean-sheet modeling, risk evaluation, cost forecasting, cost progress tracking and full lifecycle change-order oversight for large semiconductor capital programs. This position conducts competitive bid assessments and examines supplier proposals. It also provides data-driven sourcing advice to improve CapEx reliability and prevent unnecessary costs. The role engages closely with crossi-functional contacts to standardize tools, processes, and reporting that improve commercial coherence and support flawless delivery of our challenging goals.

Responsibilities include but are not limited to

Strategic Category & Commercial Analytics:

• Lead comprehensive bid analytics (RFP analysis, bid tabulation, harmonizing scope, bid alignment) for global construction and semiconductor infrastructure packages.

• Support sourcing across Cost Plus, GMP, Lump Sum, Unit-Rate/SOV, and T&M arrangements, including assessment of fees/markups, blocking issues, contingency, LD/bonus mechanisms, bonding/insurance, payment terms, and schedule impacts.

Cost Modeling, Benchmarking & Risk:

• Develop and maintain should-cost and clean-sheet models for fab, cleanroom, chemical building, and process-utility scopes including labor, materials, equipment, indirects, overhead/fee, contingency, and blocking issues.

• Build/update benchmarking baselines to compare cost competitiveness across regions and project types.

Cost Analytics, Reporting & Insights:

• Analyze cost drivers and variances; root cause analysis, identify risks, opportunities, and market trends for mega-capital programs.

• Prepare reports, dashboards, risk heatmaps, and scenario analyses with Excel, Power BI, or similar.

Performance Tracking, Data Integrity & Governance:

• Track cost performance against budgets, risk allowances, and commercial assumptions across workstreams and projects.

• Maintain accuracy and integrity of cost, benchmarking, bid, change-order, and supplier datasets for reporting and analytics.

Executive Communication & Cross-Functional Collaboration:

• Working alongside Procurement, Engineering, Construction, Finance, Operations, and Project Controls to develop continuous progress and negotiation readiness by applying should-cost models and supplier intelligence.

Minimum Qualifications:

• Master’s degree or equivalent experience in Supply Chain, Construction Management, Civil/Mechanical Engineering, or related field.

• 5-7 years in cost management/controls, cost modeling, sophisticated analytics, and commercial bid analytics within global construction capital projects (e.g., cleanroom, hospital, pharma, or high-tech manufacturing).

• Proven expertise in bid assessment (bid tabs, scope normalization, bid leveling) and delivery approaches (Cost Plus, GMP, Lump Sum, Unit-Rate/SOV, T&M).

• Practical experience with analytics platforms (e.g., Tableau, Power BI, and ERP/project management systems (e.g., SAP, Ariba, Procore).

Preferred Qualifications:

• Advanced risk modeling experience (e.g., probabilistic/Monte Carlo, scenario modeling) applied to CapEx and construction risk evaluation.

• Proven track record of defining cost savings methodology and achieving significant savings and cost avoidance through should-cost/clean-sheet approaches in semiconductor or controlled-environment facilities.

• Experience building global/regional benchmarking baselines and market intelligence for supplier competitiveness and sourcing strategy.

• Proven ability to standardize commercial tools, templates, and reporting frameworks to improve cost governance across large portfolios.

• Solid experience backing competitive negotiations using data-supported analytics, supplier knowledge, and full cost modeling.

• Intellectual curiosity and enthusiasm for process improvements, especially using AI tools to improve efficiency and outcomes.