Senior Manager - Manufacturing Business Transformation (SAP Based)

About the role

A full-time Senior Manager position in Sri Lanka's manufacturing industry, focused on driving digital transformation, SAP implementation, manufacturing process improvement and operational excellence. The role bridges business operations and technology, turning operational needs into effective digital solutions.

Key responsibilities

• Lead SAP implementation, integration and transformation initiatives across manufacturing operations.
• Drive digitalization, process automation and efficiency improvements in factory environments.
• Identify opportunities for system customization and development of new functional modules.
• Map business processes, prepare Functional Requirement Documents (FRDs) and coordinate with IT and development teams.
• Implement digital solutions for production tracking, barcode systems, batch ticket generation and operational monitoring.
• Drive data analytics, management reporting and KPI dashboards using Power BI, Qlik Sense or similar platforms.
• Explore AI-driven solutions and emerging technologies to improve efficiency and quality.
• Lead cross-functional transformation projects and ensure their successful implementation.

Required profile

• Strong experience in SAP implementation and ERP transformation, preferably in manufacturing.
• Hands-on experience in at least 2-3 SAP modules: PP, QM, MM and WM/EWM.
• Proven exposure to manufacturing digitalization, process automation, system customization and operational improvement.
• Knowledge of Power BI, Qlik Sense or similar BI tools; AI and advanced analytics exposure is an added advantage.
• Strong project management, leadership and stakeholder management capabilities.

Required skills

• SAP implementation and ERP transformation
• SAP modules PP, QM, MM, WM/EWM
• Power BI, Qlik Sense or similar BI tools
• Process automation and system customization

Additional advantages: SAP S/4HANA implementation experience, exposure to AI-driven manufacturing solutions and predictive analytics, and experience building customized financial and operational reporting modules such as P&L analysis.