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Duruper seeks an Asset Data Governance / GIS / Data Quality Lead to establish and enhance data governance across SAP, IBM Maximo, GIS, and SCADA. You will assess asset information, set ownership, and define standards to ensure data accuracy, traceability, and effective integration.
Lead data profiling, validation, and reconciliation across multiple systems, implement data quality KPIs, and drive governance improvements with IT and operations teams.
The Asset Data Governance / GIS / Data Quality Lead is responsible for establishing and improving asset data governance, data quality, and GIS data management across utility systems. The role involves assessing asset information across SAP, IBM Maximo, GIS, document repositories and operational platforms to ensure data accuracy, consistency, completeness, traceability, and effective integration.
Assess the end-to-end asset data ecosystem across EAM, GIS, SCADA and document management systems.
Define asset data ownership, governance standards, naming conventions and mandatory data attributes.
Establish data validation rules, access controls, data lineage and change management procedures.
Conduct data profiling to evaluate accuracy, completeness, consistency, uniqueness and timeliness.
Reconcile spatial and non-spatial asset records across GIS, SAP, Maximo and engineering databases.
Identify duplicate, orphaned, missing and inconsistent asset records.
Develop data quality KPIs, dashboards and monitoring mechanisms.
Recommend improvements in data governance processes, system integration and data stewardship.
Coordinate with engineering, operations, IT and asset management teams to resolve data quality issues.
Prepare data quality assessment reports and governance improvement roadmaps.
Minimum 8 years of experience in asset data management, data governance or data quality.
Experience in utility master data and asset information management.
Strong understanding of asset data governance frameworks and data quality standards.
Experience with SAP PM/EAM, IBM Maximo, GIS and SCADA interfaces.
Knowledge of asset data structures, spatial and non-spatial data reconciliation and system integration.
Proficiency in SQL, data profiling, data lineage and data validation.
Working knowledge of ArcGIS or QGIS and Power BI.
Experience developing data quality KPIs, governance procedures and data stewardship models.
DAMA/CDMP certification desirable; Esri ArcGIS or Power BI certification is an advantage.