SAP EAM/PM Master Data Consultant
Posted Today by Jobserve
Negotiable
Outside
Remote
United Kingdom
Summary: The SAP EAM/PM Master Data Consultant role involves supporting the development and governance of high-quality asset and maintenance data within SAP. This position is crucial for translating maintenance strategies into structured SAP data, facilitating efficient planning and execution. The consultant will collaborate with engineering, maintenance, and planning teams to ensure robust master data management. The role is remote with occasional travel to Canada and classified as outside IR35.
Key Responsibilities:
- Create and maintain SAP Plant Maintenance master data, including:
- Functional locations
- Equipment records
- Maintenance plans and plan items
- Task lists and operations
- Measurement points
- Interpret P&ID drawings and engineering blueprints to accurately structure asset hierarchies and functional locations
- Develop detailed work instructions based on maintenance strategies and schedules
- Integrate maintenance tasks into SAP task lists, ensuring clarity and usability for execution teams
- Assign appropriate Production Resources/Tools (PRTs) to task list operations
- Ensure strict adherence to asset taxonomy, data standards, and governance frameworks
- Maintain high levels of data accuracy, consistency, and integrity
- Collaborate with cross-functional teams to support effective maintenance planning and execution
Key Skills:
- Proven hands-on experience with SAP EAM/Plant Maintenance (PM)
- Prior experience in the mining or heavy asset industry (essential)
- Strong understanding of end-to-end maintenance processes
- Experience working with complex mobile asset hierarchies
- Ability to read and interpret technical drawings and P&IDs
- High attention to detail with a strong focus on data quality
- Understanding of maintenance strategies and reliability principles
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
SAP EAM Plant Maintenance Master Data Build Team Member, SAP PM Master Data, SAP EAM Master Data, SAP Plant Maintenance Master Data
SAP EAM/PM Master Data Consultant - Outside IR35 - Remote with occasional travel to Canada
Evolve EPR are looking to recruit 2 x SAP EAM Master Data Consultants for a new project to support the development and governance of high-quality asset and maintenance data within SAP.
This role is critical in ensuring that maintenance strategies are accurately translated into structured SAP data, enabling efficient planning, execution, and long-term asset reliability. You will work closely with engineering, maintenance, and planning teams to build and maintain robust master data aligned with operational standards.
Key Responsibilities
- Create and maintain SAP Plant Maintenance master data, including:
- Functional locations
- Equipment records
- Maintenance plans and plan items
- Task lists and operations
- Measurement points
- Interpret P&ID drawings and engineering blueprints to accurately structure asset hierarchies and functional locations
- Develop detailed work instructions based on maintenance strategies and schedules
- Integrate maintenance tasks into SAP task lists, ensuring clarity and usability for execution teams
- Assign appropriate Production Resources/Tools (PRTs) to task list operations
- Ensure strict adherence to asset taxonomy, data standards, and governance frameworks
- Maintain high levels of data accuracy, consistency, and integrity
- Collaborate with cross-functional teams to support effective maintenance planning and execution
Skills & Experience
- Proven hands-on experience with SAP EAM/Plant Maintenance (PM)
- Prior experience in the mining or heavy asset industry (essential)
- Strong understanding of end-to-end maintenance processes
- Experience working with complex mobile asset hierarchies
- Ability to read and interpret technical drawings and P&IDs
- High attention to detail with a strong focus on data quality
- Understanding of maintenance strategies and reliability principles