OVERALL PURPOSE OF THIS POSITION:  To accelerate Merck Life Science’s digital & AI transformation and efficiently leverage global vibrant data and AI ecosystem for actionable commercial intelligence in China. Acting as a business solution orchestrator, this role bridges business stakeholders and AI architects. Rather than focusing on deep technical development, it emphasizes agile delivery, translating commercial pain points into scalable AI use cases, managing end-to-end execution, and driving adoption. Ultimately, this role embeds AI into commercial processes, positioning it as a "Growth & Intelligence Engine" to power closed-loop marketing within CE&TS. PRINCIPAL ACCOUNTABILITIES:   Responsible for End-to-End solution delivery (Agile Execution): Lead the full lifecycle of AI initiatives, from ideation, scoping, and business case design to PoC delivery, scaling, and continuous iteration to ensure timely, high-quality, and outcome-driven delivery. Use case design & prioritization: Translate complex business challenges into concrete, actionable AI use cases. Prioritization to ensure resources are strictly focused on initiatives that feed the AI powered marketing closed-loop. Design and deliver structured AI knowledge assets (e.g., commercial insights repositories, domain-specific knowledge bases, prompt libraries, and reusable skills) to enable scalable and consistent solutions grounded in Merck’s rigorous scientific standards. Bridge the Tech-Business gap: Act as the central bilingual node. Communicate business requirements clearly to technical architects, while managing business stakeholders' expectations regarding technical feasibility, timelines, and compliance. Innovation & external ecosystem engagement: Stay at the forefront of AI trends (e.g., Harness AI Agents, RAG, GEO) and identify opportunities to apply emerging technologies to commercial scenarios. Engage with both internal technical experts and external partners where relevant to accelerate innovation and bring best-in-class solutions into the organization. Act as an internal AI consultant: Orchestrating internal and external expertise to improve AI literacy in commercial teams. Focus on boosting the overall proficiency in AI application and hands-on practical capabilities in CE&TS. Feedback Loop Optimization: Continuously gather frontline user feedback, identify friction points in the AI tools, and feed this data back into the agile development cycle for continuous tool refinement. Standardize and productize successful AI use cases into reusable solutions or capabilities. Define deliverables, outcome indicators, and performance metrics, ensuring clear demonstration of commercial value and effective storytelling. Facilitate workshops, discussions, and opportunity assessment sessions to identify improvement areas, align stakeholders, and drive innovative commercial solutions. Newly identified responsibilities related to AI solutions and team priorities.

Minimum of 5–8 years of proven experience in agile project management, digital transformation, commercial excellence, or technology consulting. Bachelor’s degree or above, paired with a deep passion for digital enablement and AI-driven solution building. Strong ability to translate business needs into use cases, with demonstrated experience delivering measurable business impact. Hands-on experience in managing end-to-end AI or advanced analytics projects using agile methodologies. Solid understanding of AI/ML concepts (e.g., GenAI, RAG, AI Agents) and their practical application in business scenarios; not required to code but able to work effectively with technical teams. Experience in building or leveraging knowledge bases, data assets, or content structures to support scalable AI solutions. Excellent stakeholder management and communication skills, with the ability to bridge business and technical teams and influence senior leaders. Strong problem-solving skills with a pragmatic, outcome-driven mindset and the ability to navigate ambiguity. Highly data-driven with a sharp business sense; capable of defining clear KPIs, evaluating business impact, and proving the commercial ROI of AI initiatives. Fluent in English; Mandarin proficiency is a strong plus for operating in the China business environment. Strong sense of ownership and highly self-motivated