Lead Engineer, Mathematics
Pubblicato il 30-08-2026 - Macchinari e impiantistica in Italia
Join our successful team
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Baker Hughes is the leading energy technology company, delivering across the energy value chain in over 120 countries with innovative technologies that make energy safer, cleaner and more efficient.
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As Lead Engineer, Mathematics & Data Science, Engineering Operations and Transformation, you will work in supporting Engineering and Technology teams toward operational excellence, focusing on Demand vs Capacity Analysis, costs and engineering rate control, and outsourcing leverage. You will drive the organization toward a data‐driven mindset, enabling analysis and decision making through data analytics. Through a statistical approach you will determine key process drivers impacting performance and describe future scenarios.
Responsibilities
Driving Engineering Teams Demand vs Capacity Analysis
Analyzing demand evolution over quarters to understand trends and variances versus actuals
Driving Engineering Teams to accurate and timely vouchering allocation
Working with outsourcing leaders and quality leaders to build the appropriate supply base
Supporting the team in milestones and earned value management implementation and adoption
Supporting functional costs analysis to understand cost drivers and drive cost‐reduction actions
Applying data analytics to engineering processes
Driving a proactive data‐driven approach throughout the engineering chain, enabling decision making and acting as an ambassador of the mindset
Developing positive relationships and working closely with IET Engineering Leaders and Operations to enable decision making and share best practices
Communicating results to various audiences from key executives to operative re