Business Analyst (AI & Automation)

Business Analyst (AI & Automation)

• Tuyển mới, report trực tiếp cho Trưởng bộ phận AI & Tự động hóa. Budget up to 25M Gross. Phỏng vấn 1 vòng với Manager.
• Team hiện tại: 1 Business Analyst + 3 Developers, cùng report về Manager.
• Lĩnh vực dự án: AI & Automation phục vụ khối Sản xuất/Nhà máy , tập trung vào số hóa và tối ưu vận hành sản xuất.
• Stakeholder chính: Các bộ phận tại Nhà máy , làm việc trực tiếp với người dùng vận hành.
• Vai trò BA: Tham gia xuyên suốt vòng đời dự án từ Discovery → Gathering Requirements → BRD/FRD → UAT → Go-live → Theo dõi hiệu quả sau triển khai.
• Yêu cầu bắt buộc: Có kinh nghiệm BA trong môi trường Manufacturing/Factory , hiểu quy trình sản xuất và vận hành nhà máy.
• Target ứng viên: BA 3-5 năm kinh nghiệm tại các công ty sản xuất, từng làm việc với Nhà máy, ERP/MES/WMS/IoT, có khả năng kết nối giữa Business và Technical Team.
• Ưu tiên ứng viên từng tham gia các dự án Digital Transformation, AI, Automation, Workflow Automation, Power Platform .
• Công cụ sử dụng: Jira, Microsoft 365, Power Platform; ưu tiên ứng viên có tư duy Data, hiểu AI Platform và các hệ thống doanh nghiệp.
• Cần khả năng thu thập yêu cầu, phân tích quy trình AS-IS/TO-BE, xây dựng BPMN, User Story, BRD/FRD và quản lý requirement end-to-end .
• Điểm hấp dẫn của vị trí: Tham gia trực tiếp các dự án AI & Automation cốt lõi của nhà máy, được tiếp cận cả nghiệp vụ sản xuất, data và công nghệ AI.
• Budget up to 25M Gross.
• Pv: 1 Vòng

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Job Responsibilities

• Gather and clarify business requirements with factory users across Production, QA/QC, Maintenance, Warehousing, Supply Chain, and other stakeholders.
• Map AS-IS and TO-BE processes using Process Maps/BPMN, identifying pain points, bottlenecks, control risks, and opportunities for digitalization, AI, and automation.
• Assess and prioritize use cases by business value, feasibility, data readiness, risk, and implementation effort; support business cases, KPIs, and benefit measurement.
• Translate requirements into BRD/FRD, user stories, acceptance criteria, business rules, data mappings, workflows, wireframes/prototypes, and business-level API integration documentation.
• Work with Solution Architects, Developers, Data/AI Engineers, and vendors to review requirements, clarify scope, manage dependencies, and resolve changes throughout delivery.
• Maintain requirement traceability and control scope, assumptions, constraints, issues, risks, and change requests; obtain agreement and approval before development.
• Develop business test scenarios and test cases, prepare test data, coordinate SIT/UAT, track defects, and verify acceptance criteria.
• Prepare user guides and training materials; support go-live, hypercare, and change management to encourage adoption at factories.
• Monitor post-implementation KPIs covering processing time, error rates, reduced manual work, compliance, adoption, and return on investment; recommend ongoing improvements.
• Standardize templates, documentation, and use-case libraries to support reuse and wider deployment across manufacturing and the organization.
• Support digital transformation and AI & Automation roadmaps and the development of an Automation Center of Excellence (CoE).
• Participate in workshops, awareness training, and guidance for key users.

Job Requirements

• 3–5 years of Business Analyst experience, with mandatory experience in Manufacturing/Factory environments and a sound understanding of production processes and factory operations.
• Experience working directly with factory users and connecting business needs with technical teams; exposure to ERP/MES/WMS/IoT is an advantage.
• Experience in digital transformation, enterprise software development, AI, RPA, automation, workflow automation, or Power Platform projects is preferred.
• Strong communication, facilitation, presentation, and stakeholder management skills, with a proactive approach to business and technical collaboration.
• Experience with Agile/Scrum and/or Waterfall, including hands-on involvement from discovery and requirements analysis through UAT and go-live.
• Practical experience with Jira, Confluence, Draw.io/Visio, and Excel; ability to develop AS-IS/TO-BE processes, BPMN, user stories, BRD/FRD, wireframes, system flows, and data mappings, and manage requirements end to end.
• Familiarity with Microsoft 365, Microsoft Power Platform, Power BI, Postman, Swagger, Azure DevOps, or API-integrated enterprise systems is an advantage.
• Data-oriented thinking and an understanding of AI platforms and enterprise systems are preferred.
• Experience in Supply Chain, Warehousing, Logistics, QA/QC, or Maintenance is a strong advantage.
• ECBA/CCBA/CBAP, PMI-PBA, Agile/Scrum, Lean Six Sigma, or Microsoft Power Platform certification is preferred.