Responsibilities
- Elicit, analyze, and document business requirements while translating stakeholder needs into user stories, process flows, and backlogs in Azure DevOps.
- Manage project status, financial reporting, and Steering Committee materials while monitoring scope, schedules, dependencies, risks, and decisions.
- Coordinate Agile ceremonies including daily stand-ups, sprint planning, reviews, and retrospectives to ensure timely obstacle resolution.
- Lead proof-of-concept AI use cases from initial feasibility assessment through planning, testing, stakeholder review, and production onboarding.
- Oversee production AI use cases by managing enhancement planning, defect follow-up, AI model upgrades, and platform migrations.
- Prepare test plans, scenarios, and acceptance criteria to coordinate functional, integration, regression, and user acceptance testing.
- Maintain release logs, release announcements, and defect tracking lists across business users, developers, and support teams.
- Develop operational reporting dashboards and user enablement documentation to support ongoing platform adoption and knowledge transfer.
- Bachelor's degree in Business Analysis, Information Systems, Computer Science, or a related field.
- Certification or equivalent practical experience in business analysis, project management, or Agile/Scrum methodologies.
- 3+ years of experience in business analysis, IT project delivery, digital transformation, and Agile testing.
- Hands-on proficiency with Azure DevOps Boards, user stories, acceptance criteria, process flows, defect logs, and project dashboards.
- Fluent written and spoken communication skills in English and Cantonese.
- Familiarity with GenAI, large language models, retrieval-augmented generation, chatbot platforms, or Azure services.
- Strong stakeholder management, analytical problem-solving, and cross-functional coordination abilities.
- Experience in transportation, engineering, asset management, customer service, or enterprise platforms.