SAP IAM Cloud Provisioning and Integration Professionals
We are looking forward to hire SAP IAM Cloud Provisioning and Integration Professionals in the following areas :
Responsibilities :
- SAP PM experience should be more than 5 years.
- Should have two E2E SAP PM implementation.
- Strong knowledge of SAP EAM modules, particularly Plant Maintenance (PM).
- Experience in business process mapping and re-engineering.
- Proficiency in SAP configuration and customization.
- Analyze existing asset management processes and identify areas for improvement.
- Customize the system to meet specific business requirements and industry standards.
- Monitor and maintain data integrity within the EAM system.
- Implement and configure the SAP Intelligent Asset Manager solution for clients.
- Monitor and analyze asset performance data to identify trends and areas for improvement.
- Develop reports and dashboards to provide insights into asset utilization and maintenance needs.
- Assist in the development of asset management strategies and best practices.
- Work on integrating IoT devices with the SAP Intelligent Asset Manager to enable real-time data collection.
- Ensure data accuracy and reliability from connected devices.
- Collaborate with IT and engineering teams to troubleshoot and resolve integration issues.
- Utilize machine learning algorithms to analyze asset data and predict maintenance needs.
- Develop predictive maintenance models to minimize downtime and optimize asset performance.
- Present findings and recommendations to stakeholders for decision-making.
- Provide ongoing support and troubleshooting for users of the SAP Intelligent Asset Manager.
- Maintain system documentation and user manuals.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills for effective collaboration with stakeholders.
About YASH :
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
(ref : hirist.tech)