Director – Enterprise AI Strategy & Banking Transformation
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I am G Rajesh Narayanan, an AI Strategy Leader, Data Scientist, and Data Evangelist with over 30 years of global banking and transformational technology experience. Throughout my career, I have operated at the intersection of complex financial systems and cutting-edge digital architecture, specializing in scaling Enterprise AI, cognitive automation, and large-scale data transformations.
My core expertise spans critical banking business domains—including Financial Control (FINCON), Risk Management (RMU), Wholesale Credit, and Anti-Money Laundering (AML) product architecture. I have a proven track record of managing high-stakes Business Relationship Management (BRM) portfolios, translating intricate business requirements into robust, automated enterprise solutions.
Here is a structured, executive-ready summary of your roles, responsibilities, and key achievements, framed to emphasize your seniority in both banking domain knowledge and advanced AI strategy.
AI Strategy Leader & Data Scientist
Data Evangelist (Enterprise AI Scaling & Cognitive Automation)
Senior Banking IT Professional & Business Relationship Manager (BRM)
Strategic AI & Digital Transformation: Architecting enterprise-wide AI scaling initiatives and cognitive automation frameworks to modernize legacy banking ecosystems.
Domain Architecture & Product Delivery: Leading end-to-end IT strategy and product architecture across critical banking business units, including:
Anti-Money Laundering (AML)
Stakeholder & Business Relationship Management (BRM): Bridging the gap between C-suite business stakeholders and technical engineering teams to align technology roadmaps with corporate financial goals.
Platform Innovation: Directing the conceptualization, cost structuring, and strategic alignment of next-generation autonomous financial intelligence and revenue orchestration platforms.
30+ Years of Transnational Leadership: Successfully steered complex digital and transformational technology mandates at the nexus of global banking and IT.
Enterprise AI Benchmarking & Scaling: Developed advanced, rigorous frameworks for benchmarking cutting-edge large language models (such as Krutrim-2 and Qwen3) against complex, highly regulated banking datasets.
Cross-Functional Delivery Execution: Spearheaded high-stakes implementation projects and cross-border insights exchanges, consistently translating intricate risk and financial parameters into automated, scalable software solutions.
Continuous Advanced Specialization: Combining decades of practical industry experience with deep technical rigor, supported by advanced academic pursuits (M.Tech in Data Science from PES University)
