Winner. Business Leader of the Year 2024

Chitra Sabapathy Ranganathan

Position: Associate Vice President
Company: Mphasis Corp
City: Chandler, Arizona
Country: USA
Economic/Business Sector: Software & IT Services

Chitra Sabapathy Ranganathan an exceptional Business Technology Leader with over 24 years of experience in Software Engineering and Design. He holds a Master of Science in Business Analytics from Grand Canyon University and a Post Graduate Executive Program in Management from the Great Lakes Institute of Management. Saba's diverse skill set includes Design Thinking, Technical Consulting, Cloud Computing, Data Engineering, Data Science (Machine Learning, Gen AI), Program Management, Product Management, Agile, Budgeting and Resource Management, Risk Assessment, Mitigation, Team Leadership and Development, and Cross-Functional Collaboration.

His commitment to continuous learning is evident through publications, patents, and authored books, contributing significantly to academic and industry discourse.

Saba is an exemplary Project Management Professional, contributing to the Open Group Enterprise Architecture and participating in renowned organizations, such as the Association of Enterprise Architects (AEA). As a Senior Member of the IEEE and a Fellow Member of the IIPE, UNISEC, and the Royal Society of Arts, he showcases dedication to advancing technology globally.

He orchestrated transformative initiatives, leading the digital transformation of stock exchange indexes in the US markets. He played a pivotal role in redefining technological infrastructure for financial markets and fostered a data-driven approach, revolutionizing decision-making in mining operations. His efforts optimized mining operations and logistics networks, seamlessly integrating predictive maintenance strategies for diverse fleets, enhancing operational efficiency, and extending asset lifespan.

• Enterprise Business Agility – The Lean Portfolio Management unit manages the Enterprise Platform for Shipment, which includes Ground, Express, and Freight. The Project involves reengineering the delivery supply chain into a three-tier-based architecture involving Core Services, Inner Edge, and Outer Edge. The Enterprise Platform exposes a set of standard APIs to enable a tap-in experience; its architecture is relatively uniform in achieving economies of scale. EP supports the common durable and strategic aspects of shipment and supply chain; mapping a solution across core and edges is guided by business architecture analysis.

• DART (Data Analytics and Reporting) is a major platform for customer analytics built on On-prem technology. The Platform has changed over the period due to mergers and acquisitions. The recent acquisitions of a major brokerage client resulted in the direction toward the GCP cloud, one of the biggest implementations in GCP.

• The ThinkorSwim trading platform offers a range of experiences to support a wide array of trader needs. The platform leverages artificial intelligence (AI) to provide custom.

Chitra Sabapathy Ranganathan played a crucial role in consulting and leading R&D efforts, establishing CoEs for Cloud, Data, Analytics, and Business Intelligence. Beyond technical leadership, he maintained CXO-level customer relationships and steered transformative projects across various industries. From reengineering delivery supply chains to migrating customer analytics platforms, Saba's innovative approach led to successful multi-million-dollar project implementations.

He holds several patents, including an efficient deep belief network architecture for malware detection in Android devices, ensemble learning for efficient human activity recognition, an enhanced machine learning framework for natural language processing, an intelligent decision support system using machine learning algorithms, and a human interactive robot.

Mr. Ranganathan authored books on GPU Computing, Deep and Reinforcement Learning Networks and Methods, Introduction to Machine Learning Deep Learning, Natural Language Processing, Software Architecture with DevOps and Microservices, and Computer Vision. In addition, he contributed research papers to international conferences on Cloud Computing, Machine Learning, IoT, Data Engineering, and Data Science.