Manager Digital System – Battery Cell Development Center
Job Location:
Warren, OH - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Description
The Role
The Manager DigitalSystemsis responsible forimplementing andleading the digital strategy for the Battery Cell Development Center. This rolesupportsthe controls data simulationanalyticsand overall digital infrastructurecapabilitiesto enablerapiddevelopment and accelerate transition of battery cell technologies intoscalable solutions.
The successful candidate willlead and build amultidisciplinary team responsible forcontrolsengineering digital infrastructure data systems digital twincapabilitiesand integration. This leader will partner closely with process development operations qualityIT / dataand equipment suppliers to deliver a connected ecosystem that enables rapid learning improved process understanding and scalable solutions.
This role requires a unique blend of technical depth leadership capability and strategic vision to advance capabilities within an advanced batterycell developmentenvironment.
What Youll Do
Digital Strategy
Develop and execute the Battery Cell Development Center digital roadmap.
Define long-term vision for automation digitalization analyticssimulationand AI/MLcapabilities
Establish playbook that enablesreplication and scale-up
Identifyand prioritize high-value digital transformation opportunities.
Controls and Automation
Lead controls engineering activitiesfor the entire facility from raw materials receiving through end of line
Partner with central controls and automation team to integrate and run controls architecture for the facility
Support troubleshooting and optimization ofbattery cellprocesses
Drivecontrols developmentandcommissioning methodologiesin physical and digital environmentsto reduce deployment riskand improve change over capabilities to new cell technologies
Digital Twin and Simulation
Develop digital twin capabilities supporting process development and optimization.
Implement simulation tools to evaluate process flow throughput capacity and equipment interactions.
Enable virtual validation of manufacturing concepts prior to physical implementation.
Support future deployment of predictive manufacturing capabilities.
Systems and Infrastructure
Lead implementation and integration of manufacturing systems including MES historians traceability platforms etc.
Define data architectures supporting development andoperations
Collaborate with enterprise IT teams toensure all systems are supported
Oversee development of scalable digital infrastructurefor cells
Manufacturing Analytics
Establish advanced analytics capabilities to transform data into actionable insights.
Partner with battery data and analytics team to develop dashboards and visualization tools supporting process development and operational decisions
Enable statistical processmonitoringand predictive analyticswith quality team
Identifyopportunities for machine learning and AI applications
Cross-Functional Leadership
Partner withengineeringteams to accelerate learning cycles and improve process understanding.
Supportoperations during equipment startup andbuildcampaigns.
Collaborate withquality to enhance traceability and root cause analysis capabilities.
Work with external suppliers and technology partners to integrate emerging digital technologies.
Team Leadership
Build develop and lead a high-performing teamofdigitalsystemsprofessionals.
Establish technical development plans
Foster a culture of innovation accountability and continuous improvement.
Promote collaboration across engineering disciplines.
Your Skills & Abilities (Required Qualifications)
Bachelors degree in Engineering Computer Science Automation Manufacturing Engineering or related discipline.
10 years of experience in manufacturing automation controls digital manufacturing or related fields.
3 yearsof peopleleadership experience.
Experience leading controls integration for automated manufacturing equipment.
Experience implementing digital technologies.
What Will Give You A Competitive Edge (Preferred Qualifications)
Masters degree in Engineeringor related field.
Experience in battery semiconductor automotive or other advanced manufacturing environments.
Knowledge of PLC platforms such as Siemens Rockwell or Beckhoff.
Experience with SCADA MES historians.
Experience with digital twin and simulation tools.
Familiarity with cloud-based analytics environments.
Experience applying machine learning or AI within manufacturing settings.
About GM
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Benefits Overview
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Required Experience:
Manager
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