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Tier-1 brand, metro location, and mid-level experience requirement drive high competition.
Requires financial services data governance and onboarding expertise, reducing cross-industry transferability.
Director-level title, explicit years, governance and specific tooling requirements increase shortlisting strictness.
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Drive enterprise data strategy focusing on centralization, quality management, governance, distribution, analytics, and AI-led process transformation.
Own and prioritize the Data Quality Squad roadmap including governance, remediation, automation, reporting, and preventive controls.
Lead data quality issue analysis, root cause identification, define controls and KPIs, conduct cross-functional workshops, and support implementation readiness and change management.
Minimum 4 years of relevant experience in data governance, quality, or related functions.
Strong knowledge of client reference data, KYC data, data governance frameworks, metadata management, and ownership principles.
Experience with Agile delivery, large-scale operations transformation, and automation tools such as Power BI, UiPath, Power Automate, Power Apps, Alteryx, Python, or SQL.
Work Experience Required: At least 4 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in managing end-to-end data quality and governance initiatives within a complex financial services environment.
Demonstrated ability to lead cross-functional teams and facilitate diverse stakeholder groups, including senior management.
Skilled at translating automation and AI opportunities into business cases with measurable ROI and driving measurable outcomes like STP improvement and defect reduction.