Head of Retail Data Management & Analytics

Job Summary:The Head of Retail Data Management & Analytics is responsible for leading the end-to-end data management, reporting, and analytics function within Retail Banking. The role ensures the delivery of accurate, consistent, and timely insights to support performance monitoring, strategic planning, and decision-making across all retail segments.Plays a critical role in driving data governance, standardization, and automation while enhancing advanced analytics capabilities and enabling a data-driven culture across the organization.Job Responsibilities:• Lead the design, development, and governance of the Retail MIS and performance reporting framework.• Ensure comprehensive coverage across all retail segments, including Assets, Liabilities, Cards, and Digital Channels.• Standardize reporting structures to ensure consistency, clarity, and alignment with business objectives.• Establish robust data governance and reconciliation processes between reporting outputs and source systems. • Ensure all discrepancies are identified, investigated, and resolved in coordination with IT and Operations.• Maintain a centralized KPI dictionary and reporting documentation repository.• Provide insights and analysis to explain performance trends, variances, and key business drivers.• Lead initiatives to enhance reporting efficiency through automation and advanced data solutions.• Oversee the development and enhancement of dashboards and reporting tools such as Microsoft Power BI and MicroStrategy.• Drive the adoption of scalable data models and modern reporting architecture.• Support the implementation of Microsoft data strategy solutions, including automation, data visualization, and advanced reporting frameworks.• Lead and manage the Data Management & Analytics team, ensuring effective workload distribution and delivery of high-quality outputs.• Develop team capabilities in advanced analytics, data validation, and reporting automation.Job Requirements:• Bachelor’s degree in business administration, finance, economics, data Analytics, or a related field.• Minimum 9-12 years of progressive experience in Retail Banking MIS, Data Management, Analytics, or Business Planning.• Strong ability to align data insights with business strategy and financial performance.• Strong knowledge of data analytics, modeling, and automation. • Expertise in building and governing performance frameworks and KPI structures.• Proven leadership experience managing data, reporting, or analytics teams.• Proven ability to influence senior stakeholders and lead high-performing teams.• Ability to manage multiple priorities under tight deadlines while maintaining high-quality outputs.