Lead AVP – Channel Servicing Analyst - HSBC - Bangalore, India
(2024-01 - 2025-07)
- Led digital transformation initiatives by analyzing customer behavior, channel usage, and friction points across digital and physical touchpoints, driving increased digital adoption.
- Designed and implemented automated digital adoption dashboards using SAS, SQL, Python, and QlikView, reducing reporting preparation time by 30% and enabling real-time stakeholder decision-making.
- Delivered cost optimization strategies through Straight Through Processing (STP) and customer self-service enablement, reducing manual interventions and operational costs.
- Built end-to-end analytics solutions and cross-functional campaigns to improve customer journey efficiency, channel migration, and service delivery.
Lead AVP – Data Strategy & Governance - HSBC - Bangalore, India
(2021-09 - 2024-01)
- Developed and implemented a global data governance strategy, improving data quality, consistency, and availability across enterprise data platforms.
- Designed enterprise OKR (Objectives & Key Results) framework to measure performance from individual governance initiatives through to strategic goals, enabling data-driven decision-making at the executive level.
- Led metadata management and data lineage documentation initiatives, establishing data governance operating models across business units.
- Leveraged third-party and market data to drive strategic decision-making and identify opportunities for business growth and data monetization.
- Delivered advanced analytics solutions using SAS, SQL, QlikView, and Alteryx to support governance reporting and business performance tracking.
- Investigated and resolved discrete data issues adversely affecting business unit performance, applying root cause analysis and remediation frameworks.
Lead Manager – Data Quality & Governance - HSBC - Bangalore, India
(2016-10 - 2021-09)
- Led end-to-end BCBS 239 compliance program: managed Critical Data Elements (CDE) lists, lineage mapping, and data quality metrics across global risk reporting data.
- Designed and implemented Data Quality Issue Management (DQIM) framework to identify, prioritize, remediate, and track critical data issues by business impact and risk exposure.
- Defined enterprise data quality standards, performed data profiling, custom rule-based testing, and published results on the Data Quality Monitoring dashboard to drive accountability.
- Produced regulatory data quality analysis including CDE identification, data mart creation, data uploads, and reporting for BCBS 239 regulatory submissions.
- Coordinated cross-functional teams for project planning, issue resolution, and status tracking; delivered analytics solutions in SAS, SQL, QlikView, and Alteryx.
- Established data stewardship processes and governance controls, improving data trust and reducing regulatory risk across critical data domains.
Manager – Business Analyst - Royal Bank of Scotland (RBS) - Bangalore, India
(2015-01 - 2016-09)
- Led Basel/BCBS 239 regulatory reporting and data quality KPI management across risk data domains.
- Managed portfolio analytics for Mortgage, Cards, and Loans; oversaw resource planning, vendor management, and project delivery.
Senior Business Analyst - EXL Inductis - Gurgaon, India
(2013-05 - 2015-01)
- Delivered advanced analytics using SAS, SQL, and automation scripts to streamline data processing and reporting workflows.
- Built ETL pipelines and SQL queries to consolidate multi-source datasets; created data visualizations for executive decision-making.
IT Analyst – SAS Developer - Tata Consultancy Services (TCS) - Bangalore, India
(2011-12 - 2013-05)
- Developed SAS-based reporting and analytics solutions; built automated data pipelines and KPI dashboards for executive reporting.
- Optimized SAS programs to reduce report runtime and improve data processing efficiency.
MIS Analyst / Developer - Genpact - Gurgaon, India
(2007-03 - 2011-06)
- Developed automated MIS reports and analytics dashboards, improving decision speed by 35% for daily operations.
- Designed ETL processes consolidating data from 8+ sources, reducing manual data preparation by 60%.
- Optimized report generation workflows, cutting report time from 4 hours to 30 minutes (87% reduction).
