This role involves managing the implementation of best-in-class data quality measurement programs globally within the retail consumer bank. It supports key areas such as regulatory compliance (CCAR, AML), metrics design, data governance standardization, publishing data quality scorecards for executives, issue management investigations with stakeholders under SLAs, audit support identifying control gaps/policy breaches with data evidence.
Responsibilities
- Execution of business data quality measurements according to regulatory programs like CCAR/Anti-Money Laundering (AML) guidelines
- Identification of critical data elements across different systems along with designing/test validating corresponding quality rules
- Standardizing definitions while maintaining consistent measurement approaches throughout all systems/products/regions
- Publishing monthly/quarterly scorecards at country levels alongside preparing executive summaries for upper management
- Investigating root causes behind identified defects then following up with involved parties until resolutions occur within agreed timelines
- Support audits by pinpointing instances where there might be deficiencies either concerning policies being followed correctly or lack thereof regarding proper controls
Skills & Qualifications
- Analytical skills involving data interpretation & visualization techniques
- Proficiency utilizing SAS software packages plus SQL queries
- Strong command over Microsoft Office Suite particularly Excel/VBA/PPT
- Familiarity with Generative Artificial Intelligence platforms coupled with Machine Learning methodologies (preferred)
- Understanding about Data Catalogs ,Lineage concepts ,and Quality Framework implementations
- Hands-on experience dealing directly with Key Performance Indicators(KPIs) creation,resolution/remediation efforts related specifically towards improving Data Quality outcomes
- Awareness surrounding Financial Regulations impacting banking operations especially those relating Wealth Management Products such as Investment Portfolios Trusts Lending Instruments etc.
Experience
- Minimum five(5) years' worth practical involvement executing Data Quality Solutions preferably having spent two(2)+years operating inside Banking Sector environments.
- Demonstrable track record handling diverse aspects covering everything from initial planning stages right through final delivery phases.
Education
- MBA/Masters Degree obtained from prestigious institutions focusing upon Economics Statistics Mathematics IT CA Engg fields.
- BTech/B.E degrees centered around Information Technology IS CA disciplines considered advantageous but not mandatory.
- Postgraduate qualifications spanning CS Math OR Operations Research Econometrics Mgmt Sciences similar domains also acceptable.