Requirements
The Production Engineer is responsible for assisting the PSD team to deliver safe, efficient, and reliable product and service delivery for customers. This role involves developing and delivering optimized technical job designs, identifying opportunities for continuous improvement, supporting risk management, and providing real-time support to PSD operations. The candidate will also analyze job execution versus design, capture lessons learned, and support sales and commercial teams in evaluating technical viability and tenders.
Description
The Production Engineer is responsible for assisting the PSD team to deliver safe, efficient, and reliable product and service delivery for our customers. The Production Engineer develops and delivers optimized technical job designs for the area of responsibility. This person identifies opportunities for continuous improvement of service delivery and formally communicate findings, and supports the Product Line in risk management and apply lessons learned to improve job design. The Production Engineer provides real-time support to PSD operations as required, and is responsible for the COSD (i.e. resource consumption).Develop technical job designs as required for the Product Line.Identify areas where new and cost-effective techniques can be applied.Explore opportunities for value-added products and services.Provide technical support throughout the service delivery process.Understand and communicate value of technology and interpretations.Consult with relevant subject matter experts as required to optimize the technical design.Support the OU PSD and/or PSD Manager in the execution phase with design changes as required due to changes in job dimensions, resource availability, service quality incidents, etc.Assist in incident response, recovery, and incident investigation.Support multiple Product Line operations in a collaborative optimized job design.Assist sales and commercial team in evaluating technical viability and tenders.Analyze job execution vs. design and formally capture design improvements and optimization opportunities (lessons learned and best practices).