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Data Governance Quality Assurance Lead

Job in City Of London, Central London, Greater London, England, UK
Listing for: CBRE
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Analyst, Information Security & Data Protection, Information & Knowledge Management, Data Warehousing
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below

CBRE Global Workplace Solutions is a leading global provider of integrated facilities and corporate real estate management. We are currently recruiting a Data Governance & Quality Assurance Lead to join our team.

CBRE is seeking a driven and technically minded subject matter expert to serve as the Data Governance & Quality Assurance Lead. This role is accountable for strengthening data quality, reporting consistency, performance insight and governance disciple across all regions where Syngenta data is held within CBRE systems. The role will operate across both the CBRE and customer organisation. It will report into CBRE but have a direct interface to the Syngenta GFM Operational Excellence Lead for delivery of agreed data-governance outcomes.

This role holds primary accountability for developing, implementing, and maintaining a robust data compliance and governance framework, including clear standards, policies, processes, and reporting outcomes that improve consistency and accountability. The role operates across the FM data environment, which currently includes tools such as CBRE Analytics, SAC/SAP Analytics, CMMS platforms, and AI-enabled tools including the Syngenta PRISM AI Platform. The role's accountability follows the data, not the system and will adapt as the technology landscape evolves.

The role's core accountability is to establish and maintain the governance foundations required to protect data integrity, support compliance and governance and ensuring Syngenta's data requirements are consistently prioritized in decision-making.

Key Responsibilities - Data Strategy & Governance Accountability
  • Owns the overall data quality framework and defines a strategic plan that establishes robust governance structures, aligns priorities with GFM and creates clear accountability for data quality across all regions.
  • Establishes clear ownership and stewardship arrangements for critical data, addressing governance gaps and embedding clear lines of accountability across the organization. Leads the global data reporting standards program, ensuring enterprise-wide standards, policies, and procedures are defined, approved and implemented to support consistency, integrity and control.
  • Ensures adherence to Syngenta-defined data principles, minimum data fields, common definitions, and quality thresholds - implementing and enforcing agreed standards based on asset type and criticality across all systems where Syngenta FM data is held.
  • Drives governance adoption through structured change management and stakeholder engagement, ensuring data quality and compliance protocols are understood and embedded.
Data Quality & Reporting Consistency
  • Owns the global data and reporting program end to end, setting direction and maintaining standards for data accuracy, accessibility, and relevance across key data domains.
  • Improves data completeness and accuracy by establishing formal standards, controls, and assurance activity that address reporting inconsistencies across regions.
  • Defines data quality baselines and measurable improvement metrics across relevant domains, including asset health and compliance. Tracks and reports progress against agreed data quality targets through an established governance cadence, providing transparency on data health, performance and unresolved gaps.
  • Provides governance oversight for the development of dashboards and reporting outputs, working closely with operational stakeholders to ensure business intelligence outputs are fit for purpose and aligned to agreed business requirements.
Year One Deliverables

In the first year, this role will be instrumental in laying the critical foundation for robust data governance and quality, directly addressing the "stabilise" and "govern" phases outlined…

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