Head Of Data Analytics
CurrentDesigning data analytics platforms, databases, middleware, and forming partnerships related to analytics. Key Responsibilities:• Oversee Grameenphone’s AI-driven data platforms, managing their lifecycle to align with strategic goals, enhance scalability, and enable data-driven decision-making.• Lead the modernization of data infrastructure by integrating advanced AI solutions, ensuring high performance, efficiency, and compliance across analytics ecosystems.• Drive the development of personalization & engagement platforms powered by AI to boost customer engagement, detect fraud, and safeguard revenue streams.• Forge strategic partnerships with global analytics and AI firms, advancing Grameenphone’s data capabilities and fostering innovation.• Guide AI and analytics architecture, ensuring adherence to best practices, robust governance, and superior data quality standards.• Promote a culture of data governance, ensuring integrity, confidentiality, and regulatory compliance while leveraging AI to optimize data-driven insights.• Optimize databases and middleware for all IT application for efficiency and compliance.Achievements:• Platform Modernization: Implemented Oracle Exadata, Cloudera CDP, QlikSense, Dataiku, and Denodo to speed up data processing by 33%.• High Availability: Achieved over 99.99% platform uptime through strong governance.• Data-Driven Insights: Enabled strategic business insights up to granular level using advanced analytics.• Team Leadership: Built and led a collaborative team of data architects and engineers.• RAFM Transformation: Led a multi-million USD project with Mobileum to deploy Advance Intelligent Platform(AIP).• Strategic Roadmap: Developed a data ecosystem strategy aligning analytics with business goals.• Cost Reduction: Migrated to Oracle Lakehouse, cutting applications by 50% and saving more thana million USD annually.• Customer Engagement: Enhanced digital engagement with AI-driven hyper-personalization.