Data Lead - CMMS Project
Overall Purpose: UKAEA are undertaking a significant business transformation to upgrade their Computerised Maintenance Management (CMMS)/ Enterprise Asset Management (EAMS) systems capability. As the Data Lead, you will oversee the programme's data workstream which will deliver a new target data architecture, delivering significant benefits to UKAEA through the implementation of organisation wide platforms, improvement in data management and the rationalisation of the asset data across the UKAEA estate.
You will collaborate with system integrations and cross-functional departments to ensure the successful deployment and utilisation of this critical technology. Your expertise will be instrumental in enhancing our maintenance and asset management practices, driving operational efficiency, and supporting our mission. Accountabilities:
Lead the project master data management workstream activities, ensuring data integrity, quality and availability. Create and own the Data Management plan, ensuring activities (WBS). Manage the design and definition of the Enterprise Data Model (EDM) data standards for the Material master data object along with the Data Owners and Stewards. Bring best practice approach, templates and tooling aligned to the Data Management workstream. Ensure all inter-dependent design decisions and data specific risks, issues and dependencies are identified, documented, and have clear ownership. Define the QA data set and facilitate the Show & Tell demonstrator sessions. Lead the data quality baseline assessment for the Material Master data object. Coordinate the legacy data profiling against target state Enterprise Data Model (EDM). Support the creation of the project data migration strategy, with the SI providing input into transformation mapping, validation rules providing the 'guardrails' for detailed data migration planning. Oversee the integration of large data sets from multiple sources, ensuring seamless data flow and consistency. Provide SME expertise for data topics to ensure maximum alignment with the target EDM. Specific Qualifications/Experience:
Experience managing Data Management end-to-end lifecycle on fast-track implementation projects. Experience in leading project-based data model definition and design. Strong understanding and experience of data warehousing, ETL processes and Data Lake concepts and technologies. Experience working with multiple data sets and owners. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, ability to work with cross-functional teams and third-party vendors. Preferred public sector experience and or engineering organisation. Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants.
#J-18808-Ljbffr
Overall Purpose: UKAEA are undertaking a significant business transformation to upgrade their Computerised Maintenance Management (CMMS)/ Enterprise Asset Management (EAMS) systems capability. As the Data Lead, you will oversee the programme's data workstream which will deliver a new target data architecture, delivering significant benefits to UKAEA through the implementation of organisation wide platforms, improvement in data management and the rationalisation of the asset data across the UKAEA estate.
You will collaborate with system integrations and cross-functional departments to ensure the successful deployment and utilisation of this critical technology. Your expertise will be instrumental in enhancing our maintenance and asset management practices, driving operational efficiency, and supporting our mission. Accountabilities:
Lead the project master data management workstream activities, ensuring data integrity, quality and availability. Create and own the Data Management plan, ensuring activities (WBS). Manage the design and definition of the Enterprise Data Model (EDM) data standards for the Material master data object along with the Data Owners and Stewards. Bring best practice approach, templates and tooling aligned to the Data Management workstream. Ensure all inter-dependent design decisions and data specific risks, issues and dependencies are identified, documented, and have clear ownership. Define the QA data set and facilitate the Show & Tell demonstrator sessions. Lead the data quality baseline assessment for the Material Master data object. Coordinate the legacy data profiling against target state Enterprise Data Model (EDM). Support the creation of the project data migration strategy, with the SI providing input into transformation mapping, validation rules providing the 'guardrails' for detailed data migration planning. Oversee the integration of large data sets from multiple sources, ensuring seamless data flow and consistency. Provide SME expertise for data topics to ensure maximum alignment with the target EDM. Specific Qualifications/Experience:
Experience managing Data Management end-to-end lifecycle on fast-track implementation projects. Experience in leading project-based data model definition and design. Strong understanding and experience of data warehousing, ETL processes and Data Lake concepts and technologies. Experience working with multiple data sets and owners. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, ability to work with cross-functional teams and third-party vendors. Preferred public sector experience and or engineering organisation. Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants.
#J-18808-Ljbffr
