• Define and lead the enterprise-wide AI strategy to align with BeOne Medicine’s vision and business priorities. • Develop a comprehensive data strategy, ensuring data is efficiently organized, integrated, and governed to serve as a foundation for AI-driven innovation. • Establish scalable frameworks for ethical and responsible AI use across the organization. • Design and implement a forward-thinking innovation strategy that leverages AI and emerging technologies to solve business challenges and create new market opportunities. • Build awareness and train the organization on AI capabilities, helping business and scientific teams understand how AI can improve their work. • Act as a bridge between technology and business functions, translating complex AI opportunities into clear, actionable use cases. • Empower teams to adopt AI-driven ways of working through education, workshops, and accessible tools. • Provide specialized resources and technical support for complex AI initiatives, ensuring teams have access to the expertise and infrastructure needed. • Guide the development and deployment of tailored AI solutions that support research, operations, and patient-centric innovation. • Establish partnerships with vendors, startups, and academic institutions to bring best-in-class AI tools and talent into BeOne Medicine. • Build and mentor a cross-disciplinary team of AI experts, data scientists, and engineers. • Foster a culture of innovation, experimentation, and continuous learning, ensuring BeOne Medicine stays at the forefront of AI and data innovation in healthcare. • Collaborate with executive leadership to ensure alignment and adoption of AI and data initiatives across all functions. • Oversee budgeting, resource allocation, and project management for AI and innovation projects to ensure efficient execution and deliver measurable results.

• Coach teams through the development of GenAI assistants, with a focus on ideation, prototyping, and real-world testing. • Help learners refine prompts, assess assistant scalability, and build workflows that align with business goals. • Support teams in selecting and framing high-impact HR use cases and building localized, culturally relevant assistant applications. • Provide actionable feedback during Assistant Prototype Labs and dry-run sessions to prepare for final presentations. • Join live sessions and be available for team check-ins throughout the program, ensuring consistent support. • Help teams connect their work to business impact, productivity gains, enhanced insights, or improved decision-making. • Collaborate with the Program Manager and Lead Instructor to surface team needs, ensure timely deliverables, and troubleshoot blockers.

• Lead the architecture of our next-generation API security and authorization platforms. • Leverage deep expertise in securing APIs and modern authorization standards (OAuth/OIDC) to architect the Model Context Protocol (MCP) Gateway. • Focus on building robust Authorization frameworks and API Governance layers that can scale to support high-velocity, complex access patterns of AI agents. • Drive the transformation of our security posture by extending robust API security controls to the emerging AI ecosystem. • Ensure that critical data sources are protected against unauthorized AI access by implementing Fine-Grained Authorization (FGA) and context-aware policies for safe adoption of Generative AI.

• Lead interactive and engaging online classes that spark students' curiosity and foster innovation. • Design practical, hands-on exercises to apply AI concepts to real-world scenarios. • Monitor and support students in their learning of AI tools and techniques. • Stay up to date with the latest trends and advancements in AI.