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About the Role

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

Responsibilities

Lead comprehensive bid analytics (RFP analysis, bid tabulation, scope normalization, bid leveling) 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.
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.
Analyze cost drivers and variances; identify risks, opportunities, and market trends for mega-capital programs.
Prepare reports, dashboards, risk heatmaps, and scenario analyses with Excel, Power BI, Tableau, SQL, Snowflake, Python (or similar).
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.
Work alongside Procurement, Engineering, Construction, Finance, Operations, and Project Controls to foster continuous progress and negotiation readiness by applying should-cost models and supplier intelligence.

Requirements

Master’s degree or equivalent experience in Supply Chain, Construction Management, Civil/Mechanical Engineering, or related field.
10+ 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).
Proven change-order management experience, including rate validation, markup verification, exposure forecasting, and schedule/cost impact assessments.
Practical experience with analytics platforms (e.g., Tableau, Power BI, SQL, Snowflake, Python) and ERP/project management systems (e.g., SAP, Ariba, Procore).
Advanced risk modeling experience (e.g., probabilistic/Monte Carlo, scenario modeling) applied to capex and construction risk evaluation.
Proven track record of achieving significant savings and cost prevention 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.

Skills

Cost management
Cost controls
Cost modeling
Sophisticated analytics
Commercial bid analytics
Bid assessment
Bid tabs
Scope normalization
Bid leveling
Delivery approaches (Cost Plus, GMP, Lump Sum, Unit-Rate/SOV, T&M)
Change-order management
Rate validation
Markup verification
Exposure forecasting
Schedule/cost impact assessments
Analytics platforms (Tableau, Power BI, SQL, Snowflake, Python)
ERP/project management systems (SAP, Ariba, Procore)
Advanced risk modeling (probabilistic/Monte Carlo, scenario modeling)
Global/regional benchmarking
Market intelligence
Commercial tools standardization
Templates standardization
Reporting frameworks standardization
Data-supported analytics
Supplier knowledge
Full cost modeling
AI tools

Location

Work Type

Full-time

Experience Level

10+ years

Education Level

Master's degree or equivalent experience

Salary/Compensations

$109,000.00 - $185,000.00 a year

Benefits

Choice of medical, dental and vision plans
Benefit programs that help protect your income if you are unable to work due to illness or injury
Paid family leave
Robust paid time-off program
Paid holidays

About the Company

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron is dedicated to your personal wellbeing and professional growth.

Equal Opportunity

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.