Our strategic partner specializes in supplying ingredients, additives, and related commodities for various manufacturing industries. The business is currently expanding its operations in Vietnam and is seeking multiple new positions to support its growth strategy and business expansion in the next development phase.
Location: Ho Chi Minh City, Vietnam
Summary
Reporting to the Head of AI & Automation, the Business Analyst connects factory operations with technical teams to define business needs, improve processes, and shape feasible solutions. The role covers discovery through go-live and post-implementation review, ensuring AI & Automation initiatives deliver measurable operational value and user adoption.
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.