About this role
Key responsibilities
Categories in headlines the key responsibilities that demonstrate the variety of roles that the organization expects the position to fulfill. List the main responsibilities in the job (3-6 headlines) The AI Transformation Lead accelerates the responsible adoption and measurable business impact of artificial intelligence across Novo Nordisk Region China. Acting as the bridge between business functions and ADT teams, the role converts enterprise AI ambitions into a prioritized portfolio of high-value use cases, incubates scalable solutions, drives adoption and workflow transformation, and builds sustainable organizational AI capabilities.
Key responsibility areas include: AI strategy execution and portfolio management; business opportunity discovery and use case incubation; enterprise adoption and change management; organizational capability building; value realization and performance management; and responsible, compliant scaling of AI solutions.
- Main job tasks AI Strategy Execution and Portfolio Management Translate enterprise AI ambitions into actionable roadmaps and a transparent opportunity portfolio.
- Partner with senior stakeholders to prioritize initiatives based on strategic relevance, business value, feasibility, risk and scalability.
- Monitor relevant AI developments and recommend where Novo Nordisk China should experiment, invest, scale or stop.
- Business Opportunity Discovery and Use Case Incubation Partner with Commercial, Medical, Enabling functions to identify opportunities where AI can improve growth, productivity, customer engagement, decision quality or employee experience.
- Facilitate discovery workshops, clarify business ownership, define value hypotheses, KPIs and acceptance criteria, and coordinate MVP and pilot execution with relevant delivery teams.
- Enterprise AI Adoption and Workflow Transformation Drive adoption of approved enterprise AI capabilities, including copilots, knowledge assistants, analytics solutions, agents and workflow automation.
- Diagnose barriers to adoption, redesign priority workflows with business teams, establish stakeholder-specific activation plans, and promote repeatable practices that move AI from isolated experimentation into daily work.
- Organizational AI Capability and Change Management Build enterprise AI literacy and role-based capability through learning journeys, leader engagement, AI champion and power-user networks, communities of practice, communication and hands-on application.
- Equip managers and employees to use AI effectively and responsibly, and help functions manage changes to roles, processes and ways of working.
- Value Realization, Governance and Scaled Deployment Establish adoption and value measurement approaches covering usage, productivity, quality, business outcomes and employee experience.
- Provide portfolio insights for leadership decisions and recommend scaling, redesign or retirement of initiatives.
- Work with AI governance, data, privacy, legal, compliance, security and technology stakeholders to ensure solutions are responsibly designed, approved, deployed and monitored.
Qualifications
- Bachelor's degree or above in Business Administration, Information Technology, Data Science, Engineering, Digital Transformation, Life Sciences or a related discipline.
- Postgraduate education or relevant certification in AI, analytics, product management, innovation, change management or digital transformation is preferred.
- Minimum 8 years of relevant experience in digital transformation, AI or analytics adoption, strategy, consulting, product management, innovation, organizational development or technology-enabled business change.
- Demonstrated experience leading complex cross-functional initiatives and influencing senior stakeholders without direct authority is required.
- Experience in pharmaceutical, healthcare, life sciences or another regulated industry is preferred.
- Practical exposure to generative AI, enterprise copilots, analytics, automation or digital products is strongly preferred.
- We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.