JOB DESCRIPTION

Job Title: Senior Industrial Engineer

Location: Houston, TX

Company: NOV - Rig Technologies Operational Excellence

About the Role: NOV's Rig Technologies Operational Excellence organization is seeking a highly skilled and motivated Senior Industrial/Systems Engineer to join our Continuous Improvement team. This role offers a unique opportunity to contribute to the advancement of operational efficiencies and excellence within a leading global provider of equipment and components used in oil and gas drilling and production operations. Our Rig Technologies Business Unit encompasses both Equipment Manufacturing and Aftermarket Operations. This role may require occasional travel based on specific project needs.

Key Responsibilities:

• Lead and support continuous improvement initiatives aimed at enhancing operational efficiency, productivity, and quality.
• Utilize advanced operations research techniques and the latest data analytics methodologies, including machine learning, predictive analytics, and big data analytics, to solve complex problems and drive data-driven decision-making.
• Develop and implement innovative solutions to streamline processes, reduce costs, and optimize resource utilization.
• Collaborate with cross-functional teams to identify opportunities for improvement and to implement best practices.
• Conduct detailed analyses of processes, systems, and workflows to identify bottlenecks and areas for improvement.
• Contribute to cost reduction efforts by actively seeking and reporting opportunities for improving throughput, reducing lead times, increasing efficiencies, and reducing variances.
• Design and execute experiments and simulations to test hypotheses and validate solutions.
• Prepare and present technical reports, proposals, and presentations to senior management and stakeholders.

Qualifications:

• A minimum of a Master's Degree in Industrial Engineering, Systems Engineering, or a related field.
• Strong expertise in operations research, data analytics, and programming.
• Excellent critical thinking abilities and a proven track record of implementing successful improvement projects.
• Proficiency in the latest analytics techniques, including machine learning algorithms, predictive modeling, and big data technologies.
• Proficiency in programming languages such as Python, R, or similar tools used for data analysis and modeling.
• Strong analytical skills with the ability to interpret complex data and generate actionable insights.
• Exceptional communication and interpersonal skills, with the ability to work effectively in a team environment, lead, and influence managers and peer groups.
• Knowledge of Lean, Six Sigma, and other manufacturing management philosophies such as QRM (Quick Response Manufacturing), TOC (Theory of Constraints), etc.