The Process Engineer's role at LyondellBasell is to provide essential process technical expertise and innovation to the operating units within the Perrysburg site. This position is critical in ensuring that the manufacturing processes are optimized for performance while adhering to safety and environmental compliance standards. The Process Engineer will be involved in unit monitoring, troubleshooting, and optimization efforts to drive strong unit performance. Additionally, the role includes participation in plant-wide optimization initiatives and occasionally leading complex multi-unit troubleshooting efforts. The engineer will oversee and provide primary input for all process profiles and equipment setups, ensuring that all manufacturing processes are well-documented and compliant with industry standards. In this role, the Process Engineer will incorporate principles of process safety, environmental soundness, and reliable operations into all projects and tasks. They will develop and support projects that enhance the profitability, reliability, environmental integrity, and safety of the plant. Continuous improvement initiatives will be a significant focus, particularly in the areas of manufacturing product and processing, including process modernization. The engineer will interact with internal and external experts, vendors, and consultants to develop and implement improvements effectively. Hands-on design and development of polymer processes and equipment will be a key responsibility, aimed at meeting business objectives for new product introductions. The Process Engineer will provide technical support for equipment qualification and process validation, assist in developing essential documents such as specifications, protocols, SOPs, batch records, work instructions, and test procedures. Collaboration with outside development partners will also be necessary to support their polymer processing development efforts. The engineer will work closely with operations to apply project management skills in implementing solutions to manufacturing challenges based on experimental data, ultimately optimizing the performance and efficiency of all processes.