Tuyển dụng IT & AI Business Analyst tại Hà Nội

1. Position Purpose

Support implementation and operation of digital transformation and AI application projects across the company. This role works closely with business users, IT, vendors and management to understand workflows, document requirements, validate data, coordinate vendors, track project progress, support UAT/go-live, train users and drive adoption of digital/AI solutions.

The candidate does not need to be a deep AI model developer, SAP expert or garment expert from day one, but must be able to quickly understand business workflows, system flows and data flows through a structured approach.

2. Key Responsibilities

1. Business Process & Requirement Discovery.

Lead structured discovery sessions with business users to understand workflows, system usage, pain points, exceptions and operational constraints.

Map business processes, data flows, approval flows and hand-off points across departments and systems such as SAP/ERP, Excel, email, reports and other internal tools.

Identify manual work, duplicate work, data gaps, visibility gaps, bottlenecks and improvement opportunities that can be addressed by digital tools, automation or AI.

Translate business pain points into clear requirement notes, process flows, user stories, basic BRD, business rules and acceptance criteria.

Challenge unclear requirements and help users clarify scope, expected output, expected outcome and operational impact.

Quickly learn garment/manufacturing process and SAP/ERP workflows through interviews, workshops, document review and hands-on process observation.

2. Data Checking & Validation

Check data completeness, accuracy, consistency, duplicate issues and format issues.

Compare data across Excel, SAP/ERP, email, reports or other systems.

Prepare data samples for vendor, testing and UAT.

Support data mapping between different systems, templates and reports.

Validate AI/system output against source data and business rules.

Highlight data gaps that may affect project quality or AI output reliability.

3. Digital / AI Solution Support

Support assessment of suitable solution types for each business problem: dashboard, automation, OCR, LLM, RAG, prediction model or AI agent.

Assist in preparing use case description, scope, expected output and expected outcome.

Test AI/digital solutions and report abnormal results, errors or improvement points.

Support continuous improvement of digital/AI tools after go-live.

Help business users understand what AI can and cannot do in each use case.

4. Vendor Coordination & Delivery Follow-up

Act as the day-to-day coordinator with vendors, IT teams and business users for assigned digital/AI projects.

Clarify business requirements, data samples, business rules, process logic and test cases with vendors.

Track vendor action items, pending issues, delivery timeline, change requests and project deliverables.

Review vendor deliverables against agreed requirements, UAT criteria and expected outputs.

Organize or support regular vendor update meetings and ensure meeting outcomes are clearly documented.

Summarize vendor progress, open issues, risks and next actions for Manager/Director.

Escalate delays, scope gaps, quality issues, unclear requirements or unresolved dependencies in a timely manner.

Ensure vendors provide required handover materials, including user guide, technical notes, UAT results, issue list and handover documents.

Support vendor performance review based on delivery quality, responsiveness, timeline and support capability.

5. Project Tracking & Delivery Control

Track assigned digital/AI projects from requirement, solution design, development, testing, UAT, go-live to post go-live stabilization.

Maintain project tracker, milestone plan, issue log, risk log, action log and change request log.

Follow up pending actions across business users, IT teams and vendors and ensure owners/due dates are clear.

Prepare regular project status updates for Manager/Director, including progress, risks, blockers and next actions.

Identify and classify risks related to timeline, scope, quality, data readiness, user adoption, vendor dependency or system limitation.

Propose corrective actions or escalation when projects show signs of delay, scope deviation, quality concern or low user readiness.

Monitor UAT progress and ensure critical issues are properly recorded, assigned and followed up before go-live.

Track post go-live issues and improvement items.

Ensure project documents are properly maintained and updated throughout the project lifecycle.

6. UAT, Go-live & User Support

Prepare UAT checklist, test scenarios and test cases based on business requirements.

Coordinate UAT sessions with business users, IT teams and vendors.

Record UAT results, bugs, user feedback, change requests and improvement points.

Validate system/AI outputs against source data, business rules and expected outcomes.

Follow up with vendor/IT to ensure critical issues are fixed before go-live.

Support go-live preparation, including checklist, user readiness, access setup, communication and fallback plan.

Provide post go-live stabilization support and ensure issues are properly classified and assigned.

Classify user issues into user error, data issue, system issue, vendor bug or enhancement request.

Coordinate with IT/vendor to resolve issues and update users on progress.

Maintain post go-live issue log and improvement list.

7. Training, User Support & Adoption

Prepare user guides, FAQs, quick reference guides and training materials for assigned digital/AI solutions.

Conduct or co-conduct user training sessions for business users.

Guide users on how to use digital/AI tools correctly, safely and effectively.

Explain tool limitations and when human review or approval is required.

Collect user feedback after training and after go-live.

Track common user issues, usage gaps and improvement opportunities.

Provide first-level functional support for assigned digital/AI tools.

Promote user adoption within assigned projects and support internal communication on tool value, usage scope and limitations.

Provide feedback to Manager/Director on user readiness, adoption challenges and future training needs.

Yêu cầu công việc

5+ years of experience in one or more of the following areas: Business Analyst, IT project coordination, business application implementation, ERP/BI/automation project, digital transformation project, AI/data solution project, vendor coordination for system implementation, or UAT/go-live/user rollout support.

Strong hands-on experience in business process discovery, requirement clarification and stakeholder coordination is required.

Strong experience coordinating vendors, tracking project delivery, managing UAT/go-live and supporting users after go-live is required.

Experience working with business users, IT teams, external vendors and management stakeholders.

Experience in manufacturing, garment, sourcing, supply chain or SAP/ERP environment is preferred, but not mandatory.

Candidate must have strong learning ability and a structured approach to quickly understand business processes, system flows, and data flows.

Quyền lợi

• Thưởng: 13th monthly salary, Performance Bonus
• Chăm sóc sức khoẻ: Healthcare Plan and Insurance package
• Khác: Professional FDI working environment