ERP and Manufacturing Systems Manager

The ACG ERP and Manufacturing Systems Manager is responsible for leading systems delivery, support, governance, and continuous improvement across Assembly Components Group global manufacturing facilities. This role manages a geographically dispersed team, ensures reliable ERP and data-platform operations, and partners with business leaders to translate manufacturing, sales, supply chain, finance, engineering, and quality requirements into solutions. The manager also leads the integration of shop-floor equipment, production data, digital twins, machine learning, and artificial intelligence to improve operational visibility, decision-making, and manufacturing performance.

Responsibilities

ERP 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., * 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.

• 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.