Enterprise Asset Management (EAM) Integration & Data Migration Lead
New
J
JobgetherPharmaceutical
UKContractLead
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 10+ years
- Required Skills
- SQLETL
Requirements
- 10+ years of experience leading EAM/ERP transformation initiatives and large-scale data migration programs.
- Hands-on experience with at least one major EAM ecosystem, such as SAP PM/S/4HANA EAM, Hexagon EAM, IBM Maximo, or Oracle EAM/EBS.
- Advanced SQL skills for data profiling, transformation, reconciliation, and validation.
- Practical experience using enterprise ETL or migration platforms such as DSP, SAP BODS, or similar tools.
- Expert knowledge of EAM master data, including asset master data, maintenance master data, work management structures, and inventory/materials configurations.
- Demonstrated experience managing multi-cycle mock migrations, rehearsal runs, error resolution, automated reconciliation, and production cutover planning.
- Strong understanding of data governance, data quality management, mapping specifications, and migration risk controls.
- Excellent written and spoken English communication skills.
- Ability to lead technical teams and explain complex data strategies to business leadership.
- Relevant certifications in SAP PM/EAM, Oracle, IBM Maximo, or enterprise data migration tools are preferred.
Responsibilities
- Lead end-to-end EAM data migration workstreams for global and template-based rollouts, including mock loads, rehearsals, reconciliation activities, and final production cutovers.
- Design, build, and oversee data profiling, cleansing, transformation, and validation processes using SQL and enterprise ETL or migration tools such as DSP, SAP BODS, or equivalent platforms.
- Translate core EAM processes, including asset lifecycle management, preventive maintenance, work order management, scheduling and dispatch, and inventory and parts management, into detailed migration rules and mapping specifications.
- Conduct fit-gap assessments and evaluate source and target data quality, establishing profiling, validation, and governance frameworks to minimize migration risks.
- Coordinate business leads, functional consultants, technical developers, and data governance teams across complex, matrixed transformation programs.
- Manage migration defects, reconciliation activities, and data quality issues through successive testing and rehearsal cycles to support successful go-live execution.
- Provide clear technical direction and communicate migration strategy, risks, dependencies, and progress to business and technical stakeholders.
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