Data Quality Lead

About the role

• Establish domain specific data quality rules and dimension thresholds (accuracy, completeness, consistency, validity, timeliness) for core Asset Management datasets spanning Real Estate, Lending & Credit.
• Define and establish metrics to assess data quality performance and drive continuous improvement.
• Partner with Data Engineering to design automated checks, dashboards, and alerts for pipelines, data products, and key reports.
• Proactively lead root-cause analysis of data incidents. Coordinate fixes with source platforms. 
• Use trend analysis to prioritize remediation, reduce chronic/recurring defects, and improve overall data reliability and trust.
• Maintain expertise in data quality industry trends and strategically implement advanced methodologies to elevate data quality practices.

About you

• Degree in Computer Science, Information Systems, Data Science, or a related field
• Demonstrated experience in a Data Governance or Data Management program
• Proven experience leading data quality, data governance, or data controls in a data rich environment (financial services, credit, real estate, asset management, or similar).
• A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
• Experience working with business stakeholders to define critical data elements, data definitions, and “fit for use” requirements.
• Familiarity with data quality tooling and modern orchestration/observability practices.
• Comfortable building processes from scratch in a newly formed team.
• Resourceful, motivated self-starter with the ability to collaborate across business and technology
• Strong analytical, verbal, and written communication skills