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Tier-1 brand, metro location, mid-level generalist data role with common tools and skills.
Role requires banking regulatory, data quality and domain-specific product knowledge, limiting cross-industry transferability.
Explicit 5-8 years requirement plus mandatory banking and data quality domain experience increases filter strictness.
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Manage execution of business data quality measurement programs supporting regulatory needs like CCAR and AML in retail consumer banking.
Design and validate data quality rules, identify critical data elements, and publish data quality scorecards with executive summary reports for senior management.
Investigate root causes of data quality issues, manage issue resolution with stakeholders, and support audits by identifying control gaps and providing data evidence.
5 to 8 years of hands-on experience in delivering data quality solutions; minimum 2 years in Banking Industry.
Master’s degree (MBA/Economics/Statistics/Mathematics/Information Technology/Computer Applications/Engineering) from premier institute; BTech/B.E in IT or related fields preferred.
Proficient in SAS, SQL, MS Excel, PowerPoint, and VBA; experience with GenAI, AI/ML techniques preferred.
Work Experience Required: 5 to 8 years (including at least 2 years banking).
Experienced in data governance frameworks, data cataloging, lineage, and regulatory compliance within banking.
Skilled at translating complex data quality insights into actionable business intelligence and executive-level communication.
Operates strategically within cross-functional teams to design KPIs, manage remediation efforts, and improve data quality processes aligned with regulatory standards.