Asset Data Integrity Lead

Daniel Owen Ltd.; Greater London; On-site; GBP 38,000 - 48,000; Full time

Job summary

Daniel Owen Ltd. is seeking an Asset Data Quality Lead to drive the quality of asset data across systems and databases. You will lead sourcing, assessment, monitoring, and improvement efforts to ensure data is complete, accurate, consistent, and fit for decision-making.

You will provide assurance on data quality entering core systems, report trends, reconcile data from multiple sources, and drive corrective actions with internal teams, contractors, and external providers.

Qualifications

• Lead on assessing asset data quality across management systems and datasets.
• Source asset data from internal and external sources ensuring suitability for updates.
• Apply validation checks and resolve data exceptions before loading into systems.

Responsibilities

• Lead on assessing the quality of asset data held within asset management systems, reporting datasets, and related data sources.
• Source asset data from internal teams, external providers, contractors, surveyors, and other relevant sources.
• Manage the quality of asset data entering systems by applying validation checks, resolving exceptions, and confirming that incoming data meets agreed standards before or during system update processes.
• Identify and exploit opportunities to collect and enrich asset data through surveys, inspections, works programmes, compliance activity, contractor engagement, and other touchpoints.
• Review and validate asset records including property, block, component, compliance, investment, lifecycle, and attribute data.

Skills

Asset data quality

Data validation

Data sourcing

Job description

Daniel Owen Ltd. is seeking an Asset Data Quality Lead to drive the quality of asset data across systems and databases. You will lead sourcing, assessment, monitoring, and improvement efforts to ensure data is complete, accurate, consistent, and fit for decision-making.

You will provide assurance on data quality entering core systems, report trends, reconcile data from multiple sources, and drive corrective actions with internal teams, contractors, and external providers.