Goal of the Project

• Accelerate AI adoption and digital transformation across business functions by delivering AI chatbots, knowledge assistants, and future agentic AI capabilities that improve access to information, enhance operational efficiency, and support informed decision-making.
• Drive the development and evolution of enterprise internal AI platform to enable scalable, governed, and secure AI solutions that empower departments across the organization to leverage Generative AI, enterprise knowledge, and intelligent automation.
• Establish enterprise-grade AI governance, knowledge management, and integration capabilities to ensure AI solutions remain secure, compliant, trustworthy, and seamlessly connected with corporate systems and business knowledge sources.

Primary Responsibilities

• Business analysis and backlog management: Engage business and technical stakeholders to elicit, analyse and document requirements; business process streamlining / re-engineering; translate needs into user stories, acceptance criteria, process flows and prioritised backlog items in Azure DevOps Boards or other Agile tracking tools.
• Project management and governance: Maintain the project status and financial reporting, Project Steering Committee materials and other required project documents; monitor scope, schedule, dependencies, risks, issues, decisions and actions.
• Agile delivery and Scrum coordination: Coordinate daily stand-ups, sprint planning, sprint reviews and sprint retrospectives; consolidate sprint obstacles, follow up owners and support timely resolution.
• AI Platform use-case delivery: Coordinate AI Platform proof-of-concept use cases upon request, from requirement clarification and feasibility assessment through planning, testing, stakeholder review and closure. Support promotion or onboarding of new use cases when prioritised and approved.
• Production use-case lifecycle management: Maintain launched AI Platform use cases, including enhancement planning, incident and defect follow-up, AI model upgrades, regression impact assessment and future platform or model migration.
• Testing and quality assurance: Prepare test plans, test scenarios and acceptance criteria; coordinate functional, integration, regression and user acceptance testing; validate results, document evidence and track defects through closure.
• Release management and communication: Maintain sprint release logs and coordinate release announcements, clearly documenting released features, fixes, known issues, impacts and follow-up actions.
• Operational reporting and analytics: Prepare regular chatbot status reports and maintain chatbot statistics dashboards covering agreed service, usage, quality and delivery indicators.
• Defect coordination: Consolidate and maintain the bug list; facilitate triage, prioritisation, assignment, retesting and closure with users, developers, vendors and support teams.
• Documentation and user enablement: Create and maintain user guides, operating procedures, release notes and supporting materials; conduct walkthroughs or knowledge-transfer sessions as required.

Secondary Responsibilities

• Stakeholder and vendor coordination: Act as the liaison among business users, product owners, development teams, vendors and support teams to maintain alignment on priorities, deliverables and operational issues.
• Design and process improvement: Facilitate workshops and use appropriate visualisation or prototyping techniques to clarify user journeys, business rules and solution options.
• Governance and traceability: Maintain end-to-end traceability among requirements, user stories, test cases, defects, releases and approvals, and ensure project records are complete and current.
• Ad hoc support: Provide analysis, coordination and management reporting for AIFP-related initiatives and operational matters as assigned.

Mandatory (Essential)

• Bachelor's degree in Business Analysis, Information Systems, Computer Science, Information Technology or a related field.
  
• Certification in business analysis, project management or Agile/Scrum methodology, or equivalent practical experience.
  
• 3+ years of experience in business analysis, IT project delivery or digital transformation. Experience in requirements management, Agile delivery, testing and stakeholder coordination.
  
• Sound knowledge of business requirements analysis, process improvement, product delivery and change adoption.
  
• Ability to identify business opportunities and translate them into technology solutions.
  
• Hands-on experience with Azure DevOps Boards or equivalent tools; ability to prepare user stories, acceptance criteria, process flows, test plans, test cases, defect logs, release logs, dashboards and project reports.
  
• Strong stakeholder management and communication skills. Able to communicate effectively with technical and non-technical stakeholders.
  
• Excellent analytical and  problem-solving skills. 
  
• Ability to manage multiple priorities with ownership.
  
• Fluent in written and spoken English and Cantonese.
• Strong interest in AI and digital innovation; willingness to learn emerging technologies and platform capabilities.

Good to Have (Desirable)

• Diploma / Postgraduate qualification in AI, Data Science, Business Analytics or a related field.
• PMP, PRINCE2, CBAP/CCBA, Scrum Master, Product Owner, ITIL, Microsoft Azure or AI-related certification.
• Experience delivering AI, Generative AI, chatbot, knowledge-management, workflow-automation or enterprise-platform initiatives; experience coordinating vendors and cross-functional teams.
• Knowledge of AI governance, Responsible AI, data privacy, cybersecurity, risk management or transport-related business operations.
• Experience in transportation, engineering, asset management, property, customer service, or corporate support functions.
• Familiarity with Generative AI, large language models, retrieval-augmented generation, chatbot platforms, model evaluation, Microsoft Azure, SharePoint Online, Power Platform or Microsoft Copilot.
• Understanding of AI platform governance, model evaluation, and AI solution deployment practices.
• Experience leading workshops, user training, executive presentations or organisational change activities.
• Proficiency in Mandarin.
• Track record of supporting successful product releases or operational services with measurable outcomes.