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    Consultant - SAP Asset Performance Management (APM) Consultant

    India

    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.

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    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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