• Lead the integration, enablement, and innovation of AI-driven platforms, incorporating RAG models and agentic AI to automate data synthesis and insight generation. • Develop and implement Retrieval-Augmented Generation (RAG) pipelines to enable real-time, context-aware insights for decision support. • Leverage agentic AI approaches to build autonomous AI agents that continuously optimize data-driven recommendations and adapt to changing business needs. • Apply advanced AI techniques (e.g., NLP, deep learning, predictive analytics) to transform structured and unstructured data into business-critical insights. • Develop AI-driven decision-support tools to optimize commercial strategy and enhance medical engagement. • Collaborate cross-functionally with Commercial, Medical, and other key stakeholders to identify AI-driven opportunities and deploy AI solutions effectively. • Evaluate and refine AI models for improved accuracy, efficiency, and business impact in decision-making processes. • Design and implement scalable AI-driven analytics frameworks, enabling real-time data interpretation and scenario modeling. • Conduct hypothesis-driven exploratory analyses, leveraging deep learning, NLP, and generative AI to uncover actionable insights. • Stay at the forefront of AI innovation, continuously evaluating new methodologies, tools, and platforms to enhance BeOne’s AI capabilities. • Present insights and AI-driven recommendations to senior leadership, ensuring strategic alignment and impact.