New

Remote Process Diagnostics Engineer

Owens Corning
United States, Ohio, Granville
Nov 26, 2024
Remote Process Diagnostics Engineer Location(s): Granville, OH, US, 43023-1200 Function: Research and Development Audience: Experienced Professional Work Arrangement: Remote Requisition ID: 63731 PURPOSE OF THE JOB The primary purpose of the Remote Process Diagnostics Engineer (RPDE) is to improve safety, quality, cost, and the environmental footprint of manufacturing by enabling technical resources to better identify, troubleshoot, and evaluate process problems using remotely available manufacturing data. The RPDE uses analytical data systems to create robust models of manufacturing process behaviors. These are developed in conjunction with regional and plant technical resources in an iterative way to generate the most useful and effective insights. The RDPE will support these initiatives by working with subject matter experts, operations team members, and engineers to define, source, and display data in contextualized and easy to access ways. This role is expected to engage in regular collaboration with operations teams as part of routine process monitoring to ensure optimum performance. They will also work closely with IT and OTteams to connect relevant data and help maintain the data-for our digital tools. The RPDE will be expected to use effective communication and collaborative problem solving skills to influence the behavior of others in Operations and Science and Technology roles. Reports to:Manufacturing Intelligence Leader Travel Required: 0 - 20% - preplanned. Location:Remote JOB RESPONSIBILITIES Live the Owens Corning Safety Stand - Living Safely Work to enhance plant safety using digital tools and data insights Live the OC safety culture Engage in safety activities including training, safety observations, and safe behaviors while traveling. Uses early warning diagnostic technology to eliminate production and process losses ~ 70% Develops adequate process monitoring capability and warning systems to eliminate losses due to upset conditions or process deviations. Provides daily ongoing monitoring of Early Warning Diagnostics tools and systems. Identifies deviations from expected outputs; and appropriately shares these findings with the established escalation workflow. Confers with Subject Matter Experts (SME), Technical Leaders, Reliability Engineers and RMDC Leaders to develop a plan in partnership with Operations and Maintenance, to effectively and economically improve equipment and process monitoring and data connections. Grows remote monitoring and diagnostics capacity by developing new ways to leverage tools, new ways to automate workflows, and new opportunities to monitor data all while engaging in enterprise-wide thinking. Performs data analyses as requested by plant partners and presents conclusions in a clear, concise, and useful format. Communicates clearly and effectively, incorporating feedback into future communication. Leads and develops capability of others ~ 30% Coaches and trains other technical persons in the effective use of manufacturing analytic systems, including plant engineers, interns, and development program participants. In partnership with Plant Operations Teams, Process Support Specialists, and Process Control Engineers, builds effective work relationships to improve plant performance and drive continuous improvement. Provides guidance to Capital Engineering and Science and Technology for process monitoring specifications for new equipment installations or process roll outs Consults with and leverages External resources on projects and programs related to manufacturing analytics JOB REQUIREMENTS MINIMUM QUALIFICATIONS: Bachelor of Science Engineering Degree required or related field 0 - 3 years' experience in a technical or data science role Experience identifying process issues from data PREFERRED EXPERIENCE: Structured Query Language (SQL),Early Warning Diagnostics, and conditioned based monitoringknowledge is a plus TPM Experience/Application is highly desirable Exposure to Reliability practices and processes, including the following, are desirable: Statistical Process Control Root Cause Failure Analysis (RCFA) Failure Modes, effects and Analysis (FMEA) Pareto Analysis, Etc. Reliability Work Process (RWP) Ability to effectively communicate with and engage employees at all levels of the organization Exposure to Quality Management (QM) Systems, Preventative Maintenance (PM) and Predictive Maintenance (PdM) technologies Change Management Data Driven - ability to gather and analyze data to drive decisions Understanding of Productivity and its accounting on the bottom line Ability to influence without authority Fiberglass manufacturing knowledge is a plus Experience with online digital analytics tools is preferred Can demonstrate curiosity, creativity, and collaboration Can demonstrate an ability to take and implement feedback from stakeholders Is self-driven, demonstrating an ability to work remotely and balance multiple workstreams #LI-LS1 #Remote About Owens Corning Masonite is now proudly part of Owens Corning. Owens Corning is a global building and construction materials leader committed to building a sustainable future through material innovation. Our four integrated businesses - Roofing, Insulation, Doors, and Composites - provide durable, sustainable, energy-efficient solutions that leverage our unique material science, manufacturing, and market knowledge to help our customers win and grow. We are global in scope, human in scale with more than 25,000 employees in 31 countries dedicated to generating value for our customers and shareholders, and making a difference in the communities where we work and live. Founded in 1938 and based in Toledo, Ohio, USA, Owens Corning posted 2023 sales of $9.7 billion. For more information, visitwww.owenscorning.com. Owens Corning is an equal opportunity employer.