Asset Data Quality Lead

Bimplus

Greater London

Hybrid

GBP 38,000 - 48,000

Full time

8 hours ago
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Job summary

Bimplus is seeking an Asset Data Quality Lead to drive sourcing, assessment, monitoring, and improvement of asset data across systems to support asset, compliance, investment, and operational decisions. The role provides assurance on data quality entering core systems, reports on issues and trends, and coordinates reconciliation across sources to ensure data is complete, accurate, and traceable.

You will identify enrichment opportunities through surveys and inspections and lead on validating

Qualifications

  • 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

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, 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

Job description

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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