Master Data Management | Project Management & Product Development | Domain: Merchant Data | 600M+ records
- Mastered the merchant data from internal transactions data layers and enriched it with external sources including Precisely POI, ZoomInfo, AggData, and Informap to enhance data richness and completeness.
- Owned requirements gathering and documentation to align stakeholders on project scope and designed the merchant data model to support business use cases.
- Created comprehensive UAT test cases covering Reltio MDM functionalities such as matching, survivorship, address and phone validation, data loads and exports, API, data integration, and advanced search & validation.
- Managed UAT execution to ensure the product meets business requirements and quality standards.
- Defined Service Level Agreements (SLAs) for Reltio MDM operations, including post-production product improvements, data refreshes, and data model updates to ensure timely delivery and support.
- Designed and maintained brand hierarchies, survivorship rules, and match/merge logic in Reltio to deliver unified merchant profiles supporting commercial strategies and operations.
- Delivered clean, standardized merchant master data to Databricks, enabling analytics and product teams to generate insights and run targeted cross-sell and upsell campaigns.
- Defined and monitored KPIs on data loads, match accuracy, address and phone validation, geocode precision, and data completeness to drive reliability improvements.
Master Data Management | Project Management & Product Development | Domain: Customer Data | 2M+ records
- Owned the project roadmap for customer MDM, integrating legacy CDM, MCBS billing, Salesforce CRM, and finance systems into a unified customer master dataset.
- Defined the project scope, documented the requirements and designed the customer-product master data model to support business use cases.
- Enhanced customer onboarding through improved entity resolution, automated enrichment, and reduction of manual interventions, increasing operational efficiency.
- Identified and resolved critical data quality issues by removing duplicate records and harmonizing regional data inconsistencies.
- Ensured accurate, timely provisioning of customer master data into enterprise data warehouse, serving as the trusted source for Power BI reporting for sales, marketing, and operations teams.