Consultant - SAP Asset Performance Management (APM) Consultant

5 - 7 years

0 Lacs

Posted:4 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsible for implementing and optimizing SAP APM solutions to improve asset reliability, maintenance efficiency, and operational decision-making through data-driven insights and digital asset management technologies.
Roles and Responsibilities
  • Deliver end-to-end SAP APM implementations including design, configuration, integration, testing, and go-live support.
  • Assess asset strategies and align SAP APM functionality with client business goals.
  • Configure APM features such as Asset Strategy & Performance Management (ASPM), risk and criticality analysis, and predictive insights.
  • Analyze asset health using real-time data, maintenance history, and operational KPIs to recommend improvements.
  • Develop dashboards and asset health indicators leveraging embedded analytics and machine learning capabilities.
  • Integrate SAP APM with SAP EAM/S4HANA Maintenance, Asset Central, IoT data sources, and SAP BTP services.
  • Collaborate with reliability, maintenance, and operations teams to drive continuous improvement and change adoption.
  • Apply industry methodologies such as FMEA, RCM, and RBI to enhance reliability and compliance.
  • Conduct user training, documentation, and knowledge transfer sessions.

Qualifications

Qualifications

  • Bachelor's degree in Engineering, IT, Computer Science, or related field.
  • At least 5 years of SAP implementation experience, with a focus on asset management.
  • Hands-on experience with SAP APM and integration within the SAP Intelligent Asset Management landscape.
  • Strong analytical and problem-solving abilities, including working with performance data and KPIs.
  • Excellent communication and teamwork skills.

Preferred Skills & Certifications

  • SAP certification in EAM or Intelligent Asset Management.
  • Experience with S/4HANA Asset Management and SAP BTP.
  • Knowledge of IoT, predictive maintenance, and machine learning applications in asset-intensive industries.

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