Stand out for this role — generate a tailored resume and cover letter in about a minute.
Vistas Global is seeking a Data Quality Lead to establish and manage the enterprise Data Quality Management Framework across the organization. You will ensure accuracy, completeness, consistency, timeliness, and fitness for purpose across banking, regulatory reporting, risk, finance, analytics and AI initiatives.
You will develop standards, policies and controls, define data quality rules for CDEs, and lead issue management with root-cause analysis and remediation.
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.
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.
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.