ERP and Manufacturing Systems Manager

ParkOhio Jobs

  • Madison Heights, Michigan
  • 23 days ago

    Highlights

    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. Lead integration of shop-floor machines and industrial systems with ERP, manufacturing applications, and the enterprise data platform using secure and supportable interfaces.

    Numbers & Facts

    LocationMadison Heights, Michigan
    Websitehttps://pkoh.com/careers

    Description

    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.

    Requirements

    Education

    • 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.

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