Managed a $25MM+ Customer Data Platform, improving data accuracy and integrity. Achieved a 20% reduction in KYC operations cost resulting in $16MM annual expense saves. Reduced operational cost by 10% using synthetic data for testing. Oversee 200+ talented team members with various skillsets. Contributed in transforming the bank's acquisitions and servicing platforms to be customer-centric. Modernized Customer Recognition process using Master Data Management concepts. Ensured compliance with CCPA and CPRA regulations. Developed and implemented strategies to improve data governance and privacy. Leveraged customer data and insights to drive business growth. Collaborated with marketing teams to develop and implement targeted marketing campaigns based on customer data and insights. Implemented advanced analytics techniques to analyze customer data and generate actionable insights for the business. Developed and implemented a comprehensive customer data quality assurance program to ensure consistent data accuracy and integrity across all customer touch points and systems. Implemented a data quality framework to ensure the accuracy and integrity of customer data in the North AmericaCustomerData Platform. Collaborated with business leaders to identify opportunities for leveraging customer data and insights to drive personalized customer experiences and increase customer loyalty. Collaborated with IT teams to identify and implement innovative technologies and tools for customer data management, such as AI and machine learning algorithms, to improve data accuracy, automate processes, and enhance customer insights. Identified and implemented data consolidation opportunities to optimize the storage and management of customer data, resulting in cost savings and improved data accessibility.

Designed and led Data Management pipeline in enterprise analytical platform based on Cloudera Hadoop distribution. Implemented metadata management tool that uses Machine Learning algorithm to perform Data Cataloging/Data Profiling. Evaluated data analytics tools and market trends fostering innovation. Explored Data Virtualization opportunities. Develop and implement strategies to optimize data operations and improve efficiency. Identify opportunities to leverage data analytics tools and techniques to improve business operations and drive innovation. Identify and address data management gaps and challenges, ensuring compliance with data governance policies and regulations. Lead the development and implementation of a comprehensive data governance framework to ensure data quality and compliance with regulations and industry standards. Collaborate with cross-functional teams to develop and implement data governance policies and procedures, ensuring adherence to regulatory requirements and industry best practices. Collaborate with cross-functional teams, including technology, operations, and business units, to identify and prioritize data needs and requirements. Develop and execute strategies to attract and retain top talent in the data operations team, including conducting thorough interviews, providing competitive compensation packages, and implementing employee development programs.

Piloted the vendor selection process for managed services. Captained projects demanding near real-time log analytics using Splunk. Monitored reporting on key performance indicators (KPI)Managed financial planning, capacity planning, Book of Work Management, executive reporting, strategy, and planning. Delivered multiple Data Warehouse projects in North America Mortgage and Collections business. Identify inefficiencies in data delivery processes and develop strategies to improve efficiency and productivity. Develop and implement data governance policies and procedures to ensure data accuracy, integrity, and security. Collaborate with cross-functional teams to define and prioritize data delivery requirements based on business needs. Manage and optimize data delivery infrastructure to ensure efficient and reliable data delivery to stakeholders. Implement data quality monitoring and reporting processes to ensure the accuracy and reliability of data delivered to stakeholders. Lead the development and implementation of data integration solutions to enable seamless data delivery across multiple business units and systems within the organization. Lead a team of data engineers and analysts to ensure timely and accurate data delivery to stakeholders. Collaborate with business stakeholders to identify opportunities for utilizing data to drive business outcomes and provide recommendations on data-driven strategies.