Our client provides practical solutions related to Data and AI, Cloud Services, Robotics and digital Engineering and Business Process Management to their clients. ROLE Our client is looking for an experienced AI Project Manager to lead the end-to-end delivery of AI, automation, and digital transformation initiatives. The successful candidate will coordinate business stakeholders, AI engineering teams, IT departments, and external partners to transform AI use cases into production-ready solutions that deliver measurable operational improvements This is a hands-on delivery leadership position requiring strong project execution, technical understanding, stakeholder management, and a focus on business adoption beyond implementation. Responsibilities Project Definition & Business Case Collaborate with business owners to define project objectives, scope, success criteria, business benefits, and delivery approaches. Gather and clarify business requirements, translating them into functional specifications, acceptance criteria, and test scenarios. Establish realistic project commitments, deliverables, and scope boundaries. Identify measurable KPIs and baseline performance indicators before implementation. AI Project Planning & Delivery Develop and manage integrated project plans covering data readiness, AI model development, application integration, process transformation, and user enablement. Coordinate cross-functional teams and manage dependencies across multiple workstreams. Lead agile delivery activities, including sprint planning, demonstrations, system integration testing (SIT), user acceptance testing (UAT), and production readiness reviews. Monitor timelines, budgets, resources, and delivery quality. Proactively manage project risks, issues, assumptions, and dependencies, proposing actionable mitigation strategies. Control scope changes and assess their impact on timelines, costs, and quality. Technical Coordination & Governance Work closely with IT, data engineering, AI development, platform, and information-security teams. Coordinate enterprise integration requirements, data access, architecture reviews, and production deployment. Ensure compliance with data privacy, information security, and responsible AI requirements. Manage third-party vendors, statements of work (SOWs), delivery milestones, and contractual deliverables. Change Management & Business Adoption Develop and execute change management and user-adoption plans. Coordinate stakeholder communication, user training, and operational handover. Ensure clear business ownership and accountability for implemented solutions. Track realized business benefits, including productivity improvements, reduced processing times, and operational efficiency. Provide transparent project reporting to both technical teams and senior business stakeholders. Continuous Improvement Develop reusable AI project delivery frameworks, governance processes, and evaluation checklists. Document lessons learned and established best practices for future implementations. Support business teams in developing internal delivery capabilities and sustainable operational processes. Requirements: Minimum 6 years of experience delivering technology or digital transformation projects. At least 2 years leading AI, data, or automation initiatives through production deployment. Practical understanding of LLM technologies, prompt engineering, RAG architecture, AI orchestration, agent-based systems, and evaluation methodologies. Experience with enterprise platforms such as Microsoft Azure OpenAI, Copilot Studio, Power Platform, Microsoft 365, or ServiceNow. Familiarity with enterprise APIs, system integrations, data platforms, and workflow automation. Proven experience managing complex, cross-functional projects involving multiple teams and senior stakeholders. Strong knowledge of agile and iterative delivery methodologies. Excellent risk management, problem-solving, and stakeholder communication skills. Ability to translate technical challenges into clear business decisions and recommendations. Fluent written and spoken English and Chinese. PREFFERED PMP, PRINCE2, Scrum Master, or equivalent project management certification. Background in technical consulting, solutions delivery, or customer-facing engineering. Experience with organizational change management, business process redesign, and user adoption. Hands-on exposure to Copilot Studio, Power Platform, or similar low-code AI development tools. Experience working in shared services, enterprise operations, or corporate support functions.