Director of Smart Factory (MFG Engineering)

The Director of Smart Factory s a senior global leader responsible for setting and executing the enterprise smart factory strategy across a multi-site manufacturing network. This leader will define the vision roadmap and execution of manufacturing transformation initiatives that deliver measurable business value operational excellence and scalable capabilities.

The role leads crossfunctional teams in executing organizational change management and digital transformation initiatives including Manufacturing Execution Systems (MES) Warehouse Management Systems (WMS) Manufacturing Operations Management (MOM) automation industrial data and analytics and selected Industry 4.0 capabilities. Success requires strong manufacturing depth executive presence and the ability to lead across regions and functions without relying on formal authority alone.

Smart Factory Strategy Roadmap and Business Value

• Define and lead the global smart factory strategy aligned to business and manufacturing priorities across the enterprise.
• Assess current-state capabilities and future-state needs across factories warehousing and service operations then translate those findings into a multi-year roadmap.
• Build and maintain value-based business cases with clear financial operational and capability targets for each major initiative.
• Establish governance to track benefits risks maturity and progress against stated transformation objectives.

Digital Transformation & Systems

• Lead the strategy deployment and continuous improvement of core smart factory platforms including MES MOM WMS automation and connected production systems across multiple sites.
• Set standards for solution architecture interoperability and data models to support scalable deployment and easier integration across the manufacturing network.
• Partner with IT operations engineering and external solution providers to deliver practical scalable solutions that improve plant performance and support long-term flexibility.
• Translate emerging technologies such as IIoT AI analytics and digital thread capabilities into prioritized use cases with clear business relevance.

Data Analytics & Operational Performance

• Define the manufacturing data and analytics strategy across production warehousing quality maintenance and related functions.
• Enable realtime operational visibility and datadriven decision making through standardized reporting and analytics.
• Partner with operations and planning leaders to strengthen capacity planning S&OP inputs cost models and headcount planning through better digital insight.
• Use data and digital tools to improve productivity throughput capacity quality asset performance and labor efficiency.

Global Leadership & Change Management

• Lead the organizational change management required to adopt new systems processes and ways of working across a global manufacturing network.
• Align manufacturing supply chain IT engineering finance quality and operations leaders around a common digital transformation agenda.
• Create a culture of disciplined execution continuous improvement and cross-site learning.
• Foster a collaborative highperformance and innovationdriven culture across global teams.
• Drive alignment and results through influence rather than formal authority.
• Provide leadership across manufacturing regions in the Americas Europe and Asia balancing global standards with local operational needs.