Challenge Manufacturing
Overview
Digital Analytics & IIoT Manager at Challenge Manufacturing. Lead the collection, integration, and analysis of plant-floor data across a high-volume automotive manufacturing network. Turn MES/SCADA, PLC, and IIoT data into actionable insights to improve production efficiency, uptime, quality, and predictive maintenance. The ideal candidate has a strong background in industrial analytics, IIoT deployment, and automotive manufacturing operations, and can collaborate across Production, Maintenance, Engineering, OT, and IT to deliver scalable, data-driven solutions that support vehicle launches and continuous improvement initiatives. What You'll Do
Lead the design, deployment, and management of industrial data pipelines for MES/SCADA, PLCs, and IIoT sensors across multiple plants. Implement digital twins, real-time monitoring dashboards, and predictive maintenance models to prevent unplanned downtime and improve asset utilization. Develop and maintain KPIs, operational dashboards, and reporting tools to drive improvements in throughput, OEE, cycle times, first-pass yield, scrap reduction, and energy usage. Integrate IIoT devices and industrial sensors with OT systems, MES/SCADA, ERP, and analytics platforms for end-to-end visibility. Partner with Production, Maintenance, and Quality teams to identify bottlenecks, optimize processes, and implement data-driven solutions. Manage and mentor Data Scientists, BI Developers, and Analytics Engineers to build analytics capabilities across multiple plants. Ensure data governance, integrity, and cybersecurity compliance in alignment with automotive standards (IATF 16949, ISO 9001, ISO/SAE 21434). Apply advanced analytics, statistical modeling, and AI/ML techniques for predictive maintenance, quality monitoring, and process optimization. Standardize analytics tools, methodologies, and best practices across sites to enable scalable and repeatable operations. Support new vehicle program launches and plant expansions with data-driven readiness assessments and production monitoring strategies. Train plant personnel on analytics dashboards, reporting, and interpretation to foster a data-driven culture. Evaluate and adopt emerging IIoT, edge computing, and analytics technologies to improve plant operations and predictive capabilities. Collaborate with OT, Automation, and IT infrastructure teams to ensure secure, reliable, and high-performance data systems. Drive continuous improvement initiatives using predictive analytics to optimize production scheduling, maintenance, and quality assurance. What You Need To Have
Bachelor’s degree in Data Science, Industrial Engineering, Computer Science, or related field required Master’s degree in Data Analytics, Industrial Engineering, or related field preferred 7+ years of industrial analytics, IIoT, or MES/SCADA experience in automotive or high-volume manufacturing Hands-on experience with MES/SCADA, PLCs, and industrial sensors (multi-vendor, multi-protocol) Proficiency in industrial communication protocols (EtherNet/IP, OPC UA, MQTT, Modbus, PROFINET) Experience with cloud-based industrial analytics platforms (Azure, AWS IoT/Analytics, Snowflake) Applied experience with AI/ML for predictive maintenance, quality improvement, and operational efficiency Experience implementing digital twins, edge analytics, and advanced visualization tools (Power BI, Tableau, Grafana) Knowledge of industrial cybersecurity standards and secure OT/IT convergence practices Proven experience leading multi-plant analytics or IIoT teams Strong problem-solving, analytical, and communication skills; ability to translate complex data into actionable operational insights Experience supporting vehicle launches and high-volume production schedules Experience with multi-site standardization, cross-plant KPI monitoring, and analytics deployment in automotive manufacturing What We Offer
We’re excited to offer a range of benefits including medical, dental, and vision insurance, a Health Savings Account with employer contributions, Flexible Spending Accounts, company-paid Short-Term Disability and Basic Life Insurance, Voluntary Life and Long-Term Disability options, an Employer 401k Match, ESOP shares, tuition reimbursement, a Referral Bonus Program, Challenge Incentive Program, and paid time off. Benefits may vary by role and location; duties and responsibilities may evolve over time. Reasonable accommodations are available to help individuals with disabilities succeed in their role. When And Where
This will be a Monday–Friday position located at our Corporate Office in Walker, MI. Occasionally, you may need to arrive early, stay late, or work on weekends to meet customer needs or deadlines. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research, Analyst, and Information Technology Industries
Motor Vehicle Manufacturing
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Digital Analytics & IIoT Manager at Challenge Manufacturing. Lead the collection, integration, and analysis of plant-floor data across a high-volume automotive manufacturing network. Turn MES/SCADA, PLC, and IIoT data into actionable insights to improve production efficiency, uptime, quality, and predictive maintenance. The ideal candidate has a strong background in industrial analytics, IIoT deployment, and automotive manufacturing operations, and can collaborate across Production, Maintenance, Engineering, OT, and IT to deliver scalable, data-driven solutions that support vehicle launches and continuous improvement initiatives. What You'll Do
Lead the design, deployment, and management of industrial data pipelines for MES/SCADA, PLCs, and IIoT sensors across multiple plants. Implement digital twins, real-time monitoring dashboards, and predictive maintenance models to prevent unplanned downtime and improve asset utilization. Develop and maintain KPIs, operational dashboards, and reporting tools to drive improvements in throughput, OEE, cycle times, first-pass yield, scrap reduction, and energy usage. Integrate IIoT devices and industrial sensors with OT systems, MES/SCADA, ERP, and analytics platforms for end-to-end visibility. Partner with Production, Maintenance, and Quality teams to identify bottlenecks, optimize processes, and implement data-driven solutions. Manage and mentor Data Scientists, BI Developers, and Analytics Engineers to build analytics capabilities across multiple plants. Ensure data governance, integrity, and cybersecurity compliance in alignment with automotive standards (IATF 16949, ISO 9001, ISO/SAE 21434). Apply advanced analytics, statistical modeling, and AI/ML techniques for predictive maintenance, quality monitoring, and process optimization. Standardize analytics tools, methodologies, and best practices across sites to enable scalable and repeatable operations. Support new vehicle program launches and plant expansions with data-driven readiness assessments and production monitoring strategies. Train plant personnel on analytics dashboards, reporting, and interpretation to foster a data-driven culture. Evaluate and adopt emerging IIoT, edge computing, and analytics technologies to improve plant operations and predictive capabilities. Collaborate with OT, Automation, and IT infrastructure teams to ensure secure, reliable, and high-performance data systems. Drive continuous improvement initiatives using predictive analytics to optimize production scheduling, maintenance, and quality assurance. What You Need To Have
Bachelor’s degree in Data Science, Industrial Engineering, Computer Science, or related field required Master’s degree in Data Analytics, Industrial Engineering, or related field preferred 7+ years of industrial analytics, IIoT, or MES/SCADA experience in automotive or high-volume manufacturing Hands-on experience with MES/SCADA, PLCs, and industrial sensors (multi-vendor, multi-protocol) Proficiency in industrial communication protocols (EtherNet/IP, OPC UA, MQTT, Modbus, PROFINET) Experience with cloud-based industrial analytics platforms (Azure, AWS IoT/Analytics, Snowflake) Applied experience with AI/ML for predictive maintenance, quality improvement, and operational efficiency Experience implementing digital twins, edge analytics, and advanced visualization tools (Power BI, Tableau, Grafana) Knowledge of industrial cybersecurity standards and secure OT/IT convergence practices Proven experience leading multi-plant analytics or IIoT teams Strong problem-solving, analytical, and communication skills; ability to translate complex data into actionable operational insights Experience supporting vehicle launches and high-volume production schedules Experience with multi-site standardization, cross-plant KPI monitoring, and analytics deployment in automotive manufacturing What We Offer
We’re excited to offer a range of benefits including medical, dental, and vision insurance, a Health Savings Account with employer contributions, Flexible Spending Accounts, company-paid Short-Term Disability and Basic Life Insurance, Voluntary Life and Long-Term Disability options, an Employer 401k Match, ESOP shares, tuition reimbursement, a Referral Bonus Program, Challenge Incentive Program, and paid time off. Benefits may vary by role and location; duties and responsibilities may evolve over time. Reasonable accommodations are available to help individuals with disabilities succeed in their role. When And Where
This will be a Monday–Friday position located at our Corporate Office in Walker, MI. Occasionally, you may need to arrive early, stay late, or work on weekends to meet customer needs or deadlines. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research, Analyst, and Information Technology Industries
Motor Vehicle Manufacturing
#J-18808-Ljbffr