ERP and Manufacturing Systems Manager

Job Description

Job Description

ResponsibilitiesERP and Manufacturing Systems Governance & Leadership

• Lead, coach, and develop a geographically dispersed team of ERP Business Analysts and Application Specialists supporting multiple manufacturing facilities in the US, Mexico, UK, and China.
• Lead weekly change control meetings to ensure changes are documented, tested, approved, and communicated.
• Perform periodic reviews of users, security, and changes to meet Sarbanes-Oxley control requirements.
• Partner with functional and plant leadership to prioritize initiatives, resolve cross-functional issues, and promote consistent business processes.
• Manage relationships with application, integration, analytics, cloud, and consulting partners, including statement-of-work oversight, service performance, and invoice review.
• Submit annual ERP and Manufacturing Systems budget and track actual spend to budget.

ERP Operations, Support & Business Continuity

• Own day-to-day support, configuration, administration, security-role design, and lifecycle management of the ACG Plex ERP environment.
• Manage escalation of support requests from plant Plex ERP champions and end users, coordinating resolution with software providers and third parties when required.
• Maintain an after-hours support model for critical issues affecting shipping, receiving, production, inventory, or other essential operations.
• Define service levels, monitoring, incident escalation, root-cause analysis, problem management, and continuous-improvement practices.
• Maintain application recovery procedures, support testing, and coordinate continuity planning for business-critical ERP and integration services.

Business Process, Delivery & Adoption

• Translate business-process requirements into functional and technical requirements, configuration designs, workflows, reports, integrations, and project plans.
• Lead implementation of new ERP and Manufacturing Systems functions across facilities, including discovery, design, testing, training, cutover, stabilization, and benefits realization.
• Identify process-improvement and automation opportunities across manufacturing, assembly, engineering, quality, product structure, supply chain, finance, and warehousing.
• Develop role-based training for new employees, plant Plex ERP champions, analysts, and end users.

Machine Integration, Digital Twins & Intelligent Manufacturing

• Lead integration of shop-floor machines and industrial systems with ERP, manufacturing applications, and the enterprise data platform using secure and supportable interfaces.
• Define architectures for collecting, contextualizing, and monitoring machine telemetry, events, production counts, process parameters, downtime, quality, energy, and maintenance data.
• Lead use of digital twins that represent machines, production assets, processes, and operating conditions to support visualization, simulation, monitoring, and optimization.
• Partner with operations and engineering teams to develop and operationalize machine-learning and AI use cases such as predictive maintenance, anomaly detection, quality prediction, throughput optimization, and production decision support.
• Coordinate IT and operational technology stakeholders to establish standards for connectivity, edge processing, time-series data, asset identity, data quality, and safe production deployment.

Security, Risk & Data Governance

• Enforce least-privilege access, segregation of duties, auditability, secure configuration, and periodic access review across ERP, integration, analytics, and AI environments.
• Partner with cybersecurity, internal audit, legal, compliance, and business stakeholders on risk assessments, incident response, privacy, retention, and control requirements.
• Establish governance for master data, analytical data products, AI use, model risk, and sensitive manufacturing or business information.
• Coordinate security and architecture reviews for new integrations, cloud services, machine connections, vendors, and business initiatives.

RequirementsEducation

• Bachelor's degree in Information Systems, Computer Science, Engineering, Data/Analytics, or a related field.
• Equivalent combination of education and relevant professional experience may be considered.

Experience

• 7+ years of progressively responsible experience supporting multi-plant ERP and Manufacturing Systems solutions.
• 3+ years of leadership experience with responsibility for geographically dispersed technical professionals.
• Experience supporting manufacturing ERP processes and leading implementations, upgrades, and integrations.
• Required experience integrating shop-floor machines or industrial data sources with enterprise systems and analytical platforms.
• Required experience applying digital twins, machine learning, and artificial intelligence to manufacturing processes.
• Experience managing vendors, budgets, contracts, project delivery, production support, and change control.

Technical Knowledge

• Multi-plant manufacturing ERP architecture, configuration, security, support, integration, reporting, and release management.
• Manufacturing, assembly, engineering, quality, supply chain, inventory, warehousing, shipping, receiving, product structures, bills of material, process routings, and standard-cost concepts.
• Data architecture, ETL/ELT, APIs, event and streaming patterns, data quality, lineage, metadata, master data, and role-based access control.
• Industrial integration concepts including edge gateways, industrial protocols, time-series data, equipment hierarchy, and production event models.
• Digital-twin modeling, machine-learning lifecycle management, AI solution governance, model monitoring, and responsible AI practices.
• Systems Development Life Cycle, process mapping, workflow and data-flow design, testing, release management, project management, and support operations.
• Automotive EDI and related customer or supplier integration patterns.

Preferred Skills

• Strong leadership, team development, stakeholder management, and executive communication capabilities.
• Ability to communicate business, technical, data, and operational concepts to all levels of the organization.
• Experience working in a plant automotive manufacturing environment.
• Ability to balance production support, strategic modernization, governance, and project delivery priorities.
• Strong analytical, problem-solving, and decision-making skills.
• Experience developing operational metrics, dashboards, service reporting, platform-usage reporting, and executive status updates.
• English fluency required; Spanish fluency a bonus.

Travel & Support Expectations

• Ability to travel to ACG facilities to support implementations, process discovery, training, stabilization, and operational improvement.
• Travel is expected to average approximately 30% during normal operations and may increase during major implementations.
• After hours support for critical production-impacting ERP and Manufacturing Systems issues.