Manufacturing Systems Manager

Key Responsibilities

• Develop and maintain the overall architecture for manufacturing systems, including MES, ERP, SCADA, PLCs, robotics, IoT devices, and cloud platforms.
• Define technical roadmaps that align with business strategy, operational efficiency goals, and industry best practices.
• Ensure system interoperability, security, and scalability.
• Lead the integration of disparate systems into a unified digital manufacturing ecosystem.
• Drive standardization of processes, data models, and system interfaces.
• Identify and implement automation opportunities to improve throughput, quality, and cost efficiency.
• Partner with operations, IT, engineering, and supply chain teams to gather requirements and translate them into system capabilities.
• Act as the subject matter expert for manufacturing technologies during vendor evaluations, RFPs, and implementation projects.
• Establish and enforce governance standards for manufacturing systems, including cybersecurity, data integrity, and change management.
• Ensure compliance with industry regulations (e.g., ISO, FDA, OSHA) and internal quality standards.
• Monitor system performance and lead root-cause analysis for complex issues.
• Stay current with emerging technologies (Industry 4.0, IIoT, digital twins, AI/ML in manufacturing) and recommend adoption strategies.
• Lead, mentor, and develop a team of Manufacturing Systems Engineers.
• Set departmental goals and KPIs aligned with company objectives.
• Foster a culture of accountability, continuous improvement, and collaboration.

Qualifications

• Bachelor’s or Master’s degree in Manufacturing Engineering, Industrial Engineering, Computer Science, Information Systems, or related field.
• 8+ years of experience in manufacturing IT/OT systems, with at least 3 years in an architecture or systems leadership role.
• Strong knowledge of MES, ERP, SCADA, PLCs, robotics, and industrial IoT platforms.
• Excellent leadership and team development capabilities.
• Proven experience with system integration, data architecture, and digital transformation initiatives.
• Familiarity with cloud solutions (Azure, AWS, or GCP) and edge computing in manufacturing environments.
• Excellent problem-solving, communication, and leadership skills.

Preferred Skills

• Experience in lean manufacturing, Six Sigma, or process optimization methodologies.
• Exposure to digital twin, predictive maintenance, or AI/ML applications in manufacturing.
• Professional certifications (TOGAF, ISA-95/ISA-99, PMP, or related).