Gm Tech Center Jobs in Center Line, MI (NOW HIRING)

The Role

The Manager, DigitalSystemsis responsible forimplementing andleading the digital strategy for the Battery Cell Development Center. This rolesupportsthe controls, data, simulation,analyticsand overall digital infrastructurecapabilitiesrequiredto 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, quality,IT / data,and 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 You'll Do

Digital Strategy

• Develop and execute the Battery Cell Development Center digital roadmap.

• Define long-term vision for automation, digitalization, analytics,simulationand 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)

• Bachelor's 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)

• Master's 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.