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Asset Data Quality Lead

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Bimplus
Full Time position
Listed on 2026-09-29
Job specializations:
  • IT/Tech
    Data Analyst
  • Quality Assurance - QA/QC
    Data Analyst
Salary/Wage Range or Industry Benchmark: 42000 - 48000 GBP Yearly GBP 42000.00 48000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Estimated Salary: £38,000-£44,000 per annum, or £42,000-£48,000 for London-based roles

The Asset Data Quality Lead will lead on sourcing, assessing, monitoring, and improving the quality of asset data held within structured systems and databases. The role focuses on ensuring asset data from internal and external sources is complete, accurate, consistent, traceable, and fit for use across asset, compliance, investment, and operational decision-making, while ensuring opportunities to collect, improve, or enrich asset data are identified and exploited.

The role provides assurance on the quality of asset data entering core systems, reports quality issues and trends, supports reconciliation across multiple data sources, and ensures corrective actions are completed to strengthen confidence in asset information.

Asset Data Quality Assurance
  • 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, ensuring it is suitable for loading, updating, or maintaining asset management systems.
  • 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.
  • Ensure asset data collection opportunities are identified and exploited through surveys, inspections, works programmes, compliance activity, contractor engagement, and other operational touchpoints.
  • Review and validate asset records including property, block, component, compliance, investment, lifecycle, and attribute data
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