Job Summary:
The SAP Asset Management Consultant is responsible for managing the full lifecycle of physical assets—such as plants, machinery, and infrastructure—through SAP’s Enterprise Asset Management (EAM) solutions. This role ensures effective implementation of maintenance strategies, reduces operational downtime, and enhances asset reliability and compliance using tools such as SAP PM and SAP Asset Manager.
Key Responsibilities:
Configure and implement SAP EAM modules, especially Plant Maintenance (PM).
Manage and maintain asset master data with accurate classifications and hierarchies.
Plan and schedule preventive, corrective, and predictive maintenance tasks.
Collaborate with operations, maintenance, engineering, and finance teams to align business needs with technical solutions.
Analyze asset performance and generate operational reports using SAP tools.
Integrate SAP EAM with other modules such as FI, MM, SD, and QM.
Support mobile asset management using SAP Asset Manager and related applications.
Ensure compliance with environmental, health, safety (EHS), and regulatory standards.
Provide end-user training and ongoing support for EAM-related processes.
Stay updated with SAP S/4HANA and Intelligent Asset Management capabilities.
Required Skills and Qualifications:
Strong knowledge and hands-on experience with SAP EAM and PM modules.
Familiarity with SAP S/4HANA and SAP Intelligent Asset Management tools.
Experience with mobile asset management platforms like SAP Asset Manager.
In-depth understanding of maintenance strategies and asset lifecycle processes.
Strong analytical skills for asset performance monitoring and risk-based planning.
Excellent communication and collaboration abilities.
Bachelor’s degree in Engineering, Information Technology, or a related field.
SAP certification in Plant Maintenance or Asset Management is highly desirable.
Preferred Skills:
Knowledge of SAP Fiori apps for maintenance management.
Experience in industries such as Utilities, Oil & Gas, Manufacturing, or Transportation.
Understanding of integration with GIS, IoT, and predictive analytics tools.