Project specification
Project expertise
Description
A company is looking for an experienced leader to drive automation and AI transformation. The goal is to analyze and optimize end-to-end processes across various business areas such as sales, procurement, order management, and logistics. The focus is on identifying optimization potential, especially in areas with process gaps and manual tasks, and creating a prioritized transformation roadmap with clear business cases and implementation recommendations.
The role includes overseeing automation initiatives like ERP optimization, RPA and low-code/no-code solutions, evaluating and introducing relevant AI use cases, and building foundational AI skills in the organization. Leading internal project teams and fostering a culture of continuous improvement are also key responsibilities. In addition, close collaboration with IT and external implementation partners is expected, with reporting to the executive management.
- Analyze and optimize end-to-end processes in sales, procurement, order management, and logistics
- Identify optimization potential in existing processes
- Create a transformation roadmap with business cases and implementation recommendations
- Manage automation initiatives (ERP optimization, RPA, low-code/no-code)
- Evaluate and introduce relevant AI use cases
- Build foundational AI skills in the organization
- Lead internal project teams and promote a culture of improvement
- Collaborate with IT and external implementation partners, reporting to executive management
Requirements
- 5–8 years of professional experience, including leadership roles in process optimization, digitalization, or transformation
- Consulting background (top-tier, boutique, or in-house) with strong methodological skills
- Experience with ERP systems (SAP, MS Dynamics, etc.)
- Hands-on experience in process automation (RPA, APIs, workflows)
- Confident use of project management methods and business cases
- Hands-on mentality and a clear results focus
- Fluent German and English skills
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