
Manager Digital System – Battery Cell Development Center
Job Description
Job Description
The Role
The Manager, Digital
Systems
is responsible for
implementing and
leading the digital strategy for the Battery Cell Development Center. This role
supports
the controls, data, simulation,
analytics
and overall digital infrastructure
capabilities
required
to enable
rapid
development and accelerate transition of battery cell technologies into
scalable solutions.
The successful candidate will
lead a
nd build a
multidisciplinary team responsible for
controls
engineering, digital infrastructure, data systems, digital twin
capabilities
and 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 battery
cell development
environment.
What You'll Do
Digital Strategy
Develop and execute the Battery Cell Development Center digital roadmap.
Define long-term vision for automation, digitalization, analytics,
simulation
and AI/MLcapabilitiesEstablish playbook that enable
s
replication and scale-upIdentify
and prioritize high-value digital transformation opportunities.
Controls and Automation
Lead controls engineering activities
for 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 of
battery cell
processes
Drive
controls development
and
commissioning methodologies
in physical and digital environments
to reduce deployment risk
and 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 support
ing development and
operations
Collaborate with enterprise IT teams to
ensure all systems are supported
Oversee development of scalable digital infrastructure
for cells
Manufacturing Analytics
Establish advanced analytics capabilities to transform data into actionable insights.
Partner with battery data and analytics team to d
evelop dashboards and visualization tools supporting process development and operational decisio
ns
Enable statistical process
monitoring
and predictive analyticswith quality teamIdentify
opportunities for machine learning and AI applications
Cross-Functional Leadership
Partner with
engineering
teams to accelerate learning cycles and improve process understanding.Support
o
perations during equipment startup and
build
campaigns.Collaborate with
q
uality 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 team
of
digital
systems
professionals.
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+ years
of people
leadership 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 En
gineering
or 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.


GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.

The selected candidate will be required to travel <25% for this role.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.


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