Exp. Required: 10+ years
SAP EAM (Plant Maintenance / Enterprise Asset Management)
Job Summary
We are seeking an 11 + years experienced SAP EAM + SAP APM Consultant to design, implement, and support Asset Management and Asset Performance Management solutions.
The candidate will be responsible for leveraging SAP EAM (PM module) and SAP APM solutions to enhance asset reliability, predictive maintenance, and overall operational efficiency.
Key Responsibilities
Primary skill
Analyze business requirements and configure SAP EAM (PM) processes including: Lead and support end-to-end EAM implementations and rollouts
Integrate SAP EAM with other modules such as MM, PP, FI, and PS Optimize maintenance processes and improve asset lifecycle management
Provide functional specifications for enhancements and interfaces SAP APM (Asset Performance Management)
Secondary skill
Implement and support SAP APM solutions including: Configure and support integration with IoT platforms and sensors
Analyze asset health data and recommend predictive insights
Design failure mode and effects analysis (FMEA) models
Enable digital twin concepts and asset strategy optimization General Responsibilities
Collaborate with business stakeholders to understand requirements and translate into SAP solutions Support data migration, testing (Unit, SIT, UAT), and go-live activities
Provide post-go-live support and continuous improvements
Drive innovation through SAP IAM/APM and emerging technologies (AI/ML in asset management)
Prepare documentation, business blueprints, and training materials Support pre-sales, solutioning, and capability development (for lead roles)
Required Skills & Experience
Experience:
10 + years of experience
Strong experience in SAP EAM (PM module) configuration and support
Hands-on experience or exposure to SAP APM / SAP Intelligent Asset Management (IAM) Knowledge of predictive maintenance, reliability engineering, and asset strategies
Experience with: Understanding of asset-intensive industries (Utilities, Oil & Gas, Manufacturing, Life Sciences, etc.)
Good to Have
Experience with SAP AI/ML or predictive analytics
Exposure to SAP Digital Supply Chain / Industry 4.0 solutions Certification in SAP EAM or related modules
Knowledge of GEF, GIS integration, or mobility solutions
