• Develop and execute the AI & Data GTM strategy for Life Sciences clients, with a focus on GenAI, Agentic AI, predictive analytics, and data modernization. • Build a robust pipeline for AI-driven initiatives, including clinical trial analytics, sales effectiveness, patient intelligence, real-world evidence platforms, and intelligent automation for regulatory processes. • Drive commercial excellence by achieving Revenue, Gross Margin, and Net Margin targets for AI & Data engagements. • Engage C-level executives and senior stakeholders to define AI and data transformation roadmaps, including GenAI adoption and agent-based automation. • Consult clients on AI & Analytics solutions, data strategy, AI governance, and responsible AI frameworks. • Identify new opportunities for AI-powered solutions in areas like drug discovery acceleration using GenAI, clinical trial optimization with predictive analytics, and commercial effectiveness across HCPs, Patients, and Payers. • Deliver executive-level presentations showcasing AI-driven business impact. • Translate complex business challenges into AI/ML solution architectures, leveraging Generative AI for scientific literature summarization and molecule design, and Agentic AI for autonomous workflows in clinical operations. • Design end-to-end AI ecosystems integrating data engineering, data science, and visualization platforms. • Drive data modernization programs, including migration to cloud-native data platforms (Snowflake, Databricks, AWS, Azure) and implementation of data governance, lineage, and compliance frameworks. • Champion AI ethics, model explainability, and compliance with FDA/EMA regulations. • Partner with data scientists, ML engineers, and GenAI specialists to deliver high-impact AI solutions. • Collaborate with technology alliances (AWS, Azure, Snowflake, Databricks) to enhance AI solution value. • Build and mentor a high-performing AI & analytics team focused on Life Sciences.