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