Description and Requirements
- Elicit, analyze and document business requirements for data, analytics and AI initiatives.
- Conduct stakeholder interviews, process walkthroughs and discovery workshops.
- Define business processes, pain points, user journeys, KPIs and reporting needs.
- Develop user stories, acceptance criteria, functional specifications and requirement traceability.
- Support prioritization of requirements based on business value and delivery feasibility.
- Coordinate between business users, project managers, architects, engineers and QA teams.
- Support UAT planning, test scenario development, business validation and defect triage.
- Maintain project documentation, meeting notes, decision logs and action trackers.
- Support change management, user communication and adoption activities.
- Track business outcomes, adoption indicators and benefits realization metrics.
- Support continuous improvement and post-implementation review activities.
- Help translate business feedback into enhancement backlogs.
- Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science or a related discipline.
- 3+ years of experience as a Business Analyst, Functional Analyst, Product Analyst or similar role.
- Experience in requirements gathering, process mapping, user story development and stakeholder management.
- Strong documentation, communication and problem-solving skills.
- Ability to work effectively with both business and technical teams.
- Experience with data analytics, BI, AI, digital transformation or enterprise system projects.
- Familiarity with Agile delivery, Jira, Confluence, UAT coordination or project governance.
- Exposure to KPI design, reporting requirements or data discovery activities.
- Requirements are clear, complete and aligned with business outcomes.
- Business users and delivery teams share a common understanding of scope and priorities.
- Solutions are adopted because they solve the right business problems.
- Collaborate with business stakeholders, architects, engineers, consultants and service delivery teams.
- Operate in a consulting-led delivery environment with strong ownership of outcomes.
- Contribute to reusable methodology, accelerators and solution assets for the practice.
- Support enterprise customers in Hong Kong with occasional regional collaboration as required.
- Join a growing AI Data Intelligence Practice focused on strategy, platform, analytics, AI and managed services.
- Work on enterprise-scale transformation programs with modern data and AI platforms.
- Develop cross-disciplinary capability across consulting, architecture, engineering, data products and adoption.
- Help clients build AI-ready data foundations that support BI, ML, Gen BI and AI agents.
