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. 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, Outsourcing leverage. You will drive the Organization toward a data driven mindset, enabling analysis and decision making through Data analytics. Driving Engineering Teams Demand vs Capacity Analysis
Driving Engineering Teams to accurate and timely Vouchering allocation
Working with Outsourcing Leader and Outsourcing Quality leader 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 proactive data driven approach throughout the engineering chain enabling decision making and being ambassador of the mindset
Developing positive relationships and work closely with IET Engineering Leaders and Operations to enable decision making and share best practices
Fuel your passion
Master's degree in Mathematics, Statistics, Finance or Engineering
Have significant experience in Data Management and Proven analytical and organizational ability
Exceptional ability to interact with global, multicultural teams and foster collaboration in matrix organizations.
Ability to coordinate several projects simultaneously.
Experience working with internal stakeholders.
Strong oral and written communication skills for reporting, stakeholder engagement, and team coordination.
Experience in Operations or Finance
Green or Black Belt c

📌 Lead Engineer, Mathematics (Italia)
🏢 Altro
📍 Italia