Lead BMBS AI transformation agenda — Define and continuously evolve a pragmatic AI transformation roadmap for BMBS, translating leadership ambition into clear priorities, workstreams, ownership and milestones, with a strong focus on operational efficiency, customer lifecycle improvement, dealer effectiveness and scalable capability building.

Drive cross-functional execution and organizational alignment — Act as the central transformation lead across business functions, IT, D&C and HR to align stakeholders around a shared AI agenda, strengthen business ownership, reduce fragmented experimentation, and build an effective central-plus-BU operating model with clear accountabilities.

Identify, prioritize and scale high-value AI use cases — Steer the AI portfolio from ideas and pilots toward the most relevant, business-backed use cases, ensuring efforts are prioritized based on value, feasibility, scalability and strategic relevance, especially in areas that improve productivity, decision quality, customer experience and frontline/dealer impact.

Build the foundation for sustainable AI adoption — Strengthen the enabling layer required for scale, including data accessibility and quality, knowledge foundations, governance, tools, capability building and adoption mechanisms, while ensuring AI initiatives are embedded into business processes rather than remaining isolated or purely technology-driven.

Ensure measurable impact through KPI and value steering — Establish clear objectives, KPI logic, monitoring routines and management reporting mechanisms to make AI value visible, support resource decisions, and ensure the transformation delivers tangible business outcomes rather than activity without impact.

Education

·       University degree or above, preferably in business, engineering, information systems, data/AI, or a related field.

Experience

·       Relevant experience in AI transformation, digital transformation, strategy, consulting, data, or related cross-functional business roles preferred.

·       Proven track record of translating ambiguous ideas into structured initiatives and implemented business use cases with measurable impact.

·       Strong capability to lead complex projects and drive execution across multiple functions, with solid communication, stakeholder management, and resource coordination skills.

·       Strong understanding of business process redesign, operating model design, change/adoption management, and KPI/value tracking.

·       Fluent in Chinese and English, with the ability to prepare management-level materials, decision proposals, and workshop content.

·       Strong business judgment, prioritization capability, and structured thinking; able to turn complexity into clear decisions and next steps.

·       High level of ownership and execution drive; comfortable working across teams and pushing progress without formal line authority.

·       Pragmatic, value-first mindset toward AI, with awareness of adoption, governance, and compliance considerations.

·       Strong passion for AI is highly preferred; heavy users and enthusiastic adopters of AI tools in daily work will be viewed favorably.