AI Transformation Coordinator

1. AI Use Case Structuring & Prioritization
Collect, clarify, and consolidate AI use cases across departments
Evaluate use cases based on value, frequency, complexity, data readiness, and ROI
Support leadership in prioritization decisions
Translate vague needs into clear, actionable plans
Maintain a realistic and structured AI roadmap
2. AI Adoption & Enablement
Support teams in using AI tools effectively in daily operations
Develop guidelines, templates, and best practices
Organize internal demos, knowledge sharing, and light training sessions
Help build a network of internal “AI Champions”
3. Knowledge Base Structuring
Contribute to designing the internal knowledge base architecture
Organize and standardize business documentation (processes, products, suppliers, clients, etc.)
Identify data gaps and improve content quality
Establish standards for documentation, validation, and updates, so AI can use them
4. AI Pilot Design & Execution
Define objectives, scope, workflows, and KPIs for each pilot
Coordinate between teams, stakeholders, and external partners if needed
Monitor progress and continuously optimize pilots
Ensure pilots remain simple, practical, and business-driven
5. Business – Data – Tools Interface
Translate business needs into structured problem statements
Understand constraints related to ERP, processes, and data quality
Recommend appropriate solutions (existing tools vs. more advanced projects)
Prevent overly complex or low-value AI initiatives
6. Impact Measurement & Continuous Improvement
Build simple dashboards to track adoption and performance
Measure impact, identify challenges, and uncover opportunities
Provide regular insights and reports to leadership
Continuously refine the AI roadmap and governance
1. Competency
Fluent in English language
Good understanding and practical use of AI tools (e.g., ChatGPT)
Awareness of AI limitations (hallucinations, data quality, validation, governance)
Interest in no-code tools and automation is a plus
Basic understanding of ERP/CRM/data systems is a plus
Strong analytical and structured thinking
Ability to turn ambiguous problems into actionable plans
Solid project management and cross-functional coordination skills
Strong communication and stakeholder management
High level of ownership and autonomy
2. Education
Background in one or more of the following: Project or Product Management/ Digital Transformation/ Operations or Consulting/ Knowledge Management / Data
3. Experience
1-3 years of experience in a similar position
Ngành nghề: CNTT - Phần mềm
Kinh nghiệm: 1 Năm
Cấp bậc: Nhân viên
Hình thức: Nhân viên chính thức
Địa điểm: Hà Nội