Sandeepkumar Sant
- Role
- Issues Remediation Leader, Enterprise Data Remediation, Data Management & Insights at Wells Fargo
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Sandeepkumar Sant
At the core, I am passionate about solving data issues. I serve as an enterprise wide…
Experience
Issues Remediation Leader, Enterprise Data Remediation, Data Management & Insights
Mar 2018 — Present
Recruited to lead team of senior-level individual contributors in developing and centralizing enterprise data solutions. Oversee large projects spanning business units/cross-functional teams; incorporate emerging data management capabilities to support multi-year, enterprise-wide initiatives. • Leverage multifaceted data analytics/financial services expertise to transform Wells Fargo’s data environments; drive rapid delivery of reliable data to bolster decision making and business growth. • Establish relationships across Credit Risk, Commercial and Consumer Lending business lines; partner with Legal, Compliance, and Technology teams to resolve data issues impacting customers and verify compliance with regulatory requirements. • Collaborate with C-level leadership to determine strategic direction for range of high-visibility, high-impact regulatory reporting. Perform meticulous data testing to gauge internal/external reporting readiness. • Advance enterprise data management strategy by strengthening cross-domain communication, prioritizing data needs, investigating root causes, and engaging Business Data Leaders. Select Achievements •Chosen to lead cross-enterprise data science use case initiative. Work with Artificial Intelligence Center of Excellence (AI CoE) team to explore benefits of AI/ML techniques in data issue remediation-Reduced errors in liquidity reporting and drove cost savings through precise forecasting. Delivered technical solution reducing risk weighted assets by $5.5B and boosting revenue by $55M per quarter-Led enterprise remediation initiative to assess FRY-14 M/Q reporting; oversaw disposition of ~200 data findings across systems of record and business lines-Collaborated with Deposit Furnishing CoE to analyze/document Early Warning Services (EWS) data ecosystem. Delivered data lineage, flow diagrams, and controls for 24+ EWS files-Performed data quality assessment for 18 applications; reviewed 9K commercial/industrial assets.
Education
The Maharaja Sayajirao University of Baroda
Bachelor of Engineering - BE, Engineering
1997 — 2001
Georgia Institute of Technology
Master's degree, Analytics
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