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.
• Identify missing, duplicated, poor-quality, or inconsistent records, report findings clearly, and ensure issues are resolved.
• Assess whether asset data contains the information needed to support asset, compliance, investment, and operational decisions.
• Apply and use data standards to assess structure, traceability, and linkage to the correct asset, location, component, and source record.

Data Review and Reconciliation

• Compare asset data from internal and external sources against source records, survey outputs, compliance records, planned works, completed works, and historical datasets to identify discrepancies.
• Review incoming asset data before it is accepted into systems, ensuring required fields, coding, evidence, source references, and relationships between records are complete and consistent.
• Investigate inconsistencies, determine likely causes, and work with relevant teams and providers to ensure quality issues are resolved.

Stakeholder and Provider Liaison

• Provide formal feedback to internal teams, surveyors, contractors, and external providers on asset data quality issues, required improvements, and actions needed to resolve them.
• Clarify expectations for asset data capture, coding, evidence, source records, and submission standards to ensure consistency across teams and providers.
• Support onboarding and performance management of providers by reinforcing required quality standards for asset data outputs.
• Challenge recurring issues or significant failures where asset data does not meet agreed standards, escalate where required, and ensure corrective actions are completed.

Reporting and Performance Monitoring

• Produce reports on asset data quality performance, including issues relating to completeness, accuracy, consistency, timeliness, and traceability.
• Monitor trends such as inaccurate records, missing fields, inconsistent entries, weak source evidence, and recurring data issues.
• Highlight risks and escalate where poor-quality asset data could affect planning, compliance assurance, audit outcomes, reporting, or business decisions.

Process Improvement

• Develop and maintain quality assurance processes, standards, and guidance for asset data creation, maintenance, and correction.
• Recommend improvements to data templates, data capture tools, validation rules, and system controls to strengthen asset data quality.
• Identify opportunities to capture additional or improved asset data through existing processes, projects, visits, inspections, surveys, and provider activity.
• Contribute to continuous improvement by identifying root causes of recurring quality issues.
• Support the development of data dictionaries, validation frameworks, naming conventions, and asset data standards.

Success Measures

• Asset data from internal and external sources is consistently assessed, with quality issues clearly identified, reported, and resolved before or as it enters core systems.
• Internal teams and providers are challenged appropriately where data does not meet agreed standards.
• Data quality issues and trends are reported promptly, with clear escalation and timely completion of corrective actions where required.
• Data collection opportunities are proactively identified and used to improve the completeness, reliability, and value of asset data.
• Stakeholders have confidence in asset data used for investment planning, compliance reporting, operational delivery, and asset decision-making

Personal Specification

Essential

• Experience of working with stock condition data within social housing, or a similar built asset-focused environment.
• Experience of data validation, quality assurance, cleansing, reconciliation, or exception management within structured systems or databases.
• Ability to review and interpret asset records and related source data, including property, block, component, compliance, investment, lifecycle, or attribute information.
• Ability to analyse datasets, cross-reference internal and external data sources, and identify gaps, inconsistencies, errors, and trends.
• Experience of sourcing, reviewing, or supporting the quality assurance of data received from internal teams, external providers, contractors, surveyors, or third-party sources.
• Ability to apply agreed data quality rules, validation checks, coding standards, and evidence requirements consistently.
• Ability to identify practical opportunities to capture, improve, or enrich asset data through existing business processes and operational activity.
• Experience of producing data quality reports, summaries, dashboards, or management information using tools such as Excel without reliance on Co-Pilot.
• Strong Excel and Microsoft 365 skills, including the ability to analyse, manipulate, and present structured data effectively without reliance on Co-Pilot.
• Strong attention to detail, accuracy, organisation, and prioritisation when working with data.
• Good communication skills, including the ability to raise data quality issues clearly and work with colleagues, contractors, and providers to support resolution.
• Collaborative, analytical, and quality-focused, with a proactive approach to identifying issues and supporting continuous improvement.

Desirable

• Experience working with stock condition surveyors to validate their survey results
• Experience of working with asset management systems and mobile data capture tools.
• Experience of developing, testing, or refining data quality measures for reporting dashboards or automated checks.
• Experience of developing or applying data standards, validation rules, data dictionaries, naming conventions, or assurance requirements.
• Experience of supporting audit or assurance activity relating to asset, compliance, or property data.
• Knowledge of property hierarchies, component records, lifecycle information, compliance data, evidence standards, and audit expectations.
• Ability to interpret technical property information, component condition standards, or property survey outputs.
• Awareness of data protection and information governance principles.
• Qualification in a relevant field such as data management, project management