Job Description

We are looking for a Data Quality Lead to establish and manage the enterprise Data Quality Management Framework across the organization. The role will ensure data is accurate, complete, consistent, timely, and fit for purpose across banking, regulatory reporting, risk, finance, analytics, and AI initiatives.

Key Responsibilities:

Develop and implement Data Quality Framework, standards, policies, controls, KPIs/KRIs and scorecards.
Define and monitor Data Quality Rules for Critical Data Elements (CDEs).
Lead Data Quality Issue Management, including root-cause analysis, remediation, escalation, and closure.
Monitor data quality through dashboards, scorecards and management reporting.
Support regulatory reporting, risk, finance, compliance and audit requirements.
Ensure data quality for AI, analytics and ML initiatives.
Work closely with Data Owners, Data Stewards, IT, Risk, Finance, Compliance and Business teams.
Drive enterprise-wide Data Governance and Data Quality maturity.

Required Experience:

8–12 years in Data Governance, Data Quality, Data Management, Risk Data or Regulatory Data.
Banking/Financial Services or another highly regulated industry is required.
Strong knowledge of Data Quality, Data Governance, Data Lineage, Metadata, MDM and Reference Data.
Experience with Informatica, Collibra, Microsoft Purview, ABACUS or similar platforms.
Strong stakeholder management and governance experience.