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Senior AI Efficiency Manager(m/w/x)
AI automation process mapping in ceramics manufacturing, conceptualizing AI product solutions. One year AI automation implementation and three years data-driven process analysis required; consulting experience a plus. Strategic AI pipeline development in a traditional manufacturing setting.
Requirements
- Completed studies in (Business) Informatics, Engineering, Mathematics, Physics, or Business Administration with quantitative and technical focus
- Minimum three years in data-driven process analysis and optimization/redesign with digital tools
- At least one year identifying and implementing AI automation solutions
- Consulting experience (plus)
- Profound understanding and practical experience with AI technologies
- Application of AI for efficiency gains
- Excellent analytical skills
- Quick comprehension
- Structured presentation of complex business and technical contexts
- Experience with process modeling (BPMN 2.0)
- Experience with data-driven analysis
- Good system and process knowledge (sales, administration, production)
- SAP S/4HANA experience (ideally)
- Familiarity with statistical methods
- Familiarity with analytical tools
- Foundational programming (R, Python)
- Familiarity with cloud environments
- Fluency in English
- Strong problem-solving skills
- Proactivity
- Assertiveness
- Experience with project and change management methodologies
- Fluency in German (plus)
Tasks
- Identify and map processes for AI automation via Process Mining.
- Prioritize AI opportunities based on potential impact.
- Collaborate with experts on AI use cases.
- Conceptualize AI product solutions for multiple needs.
- Co-develop and refine the AI project pipeline.
- Integrate AI process redesign and products across the value chain.
- Prioritize initiatives to eliminate repetitive tasks.
- Prioritize initiatives to improve output.
- Prioritize initiatives to scale operations.
- Evaluate, conceptualize, and guide AI solution implementation from a business perspective.
- Ensure seamless AI integration for documented benefits and efficiency.
- Establish innovative AI-enhanced digital processes.
- Develop and deliver AI training for Process Owners.
- Teach AI automation principles and tools.
- Instruct on AI methodologies and business cases.
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- chatbots
- RPA
- self-learning agents
- BPMN 2.0
- SAP S/4HANA
- SQL
- BigQuery
- Google Analytics
- R
- Python
- cloud environments
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Senior AI Efficiency Manager(m/w/x)
AI automation process mapping in ceramics manufacturing, conceptualizing AI product solutions. One year AI automation implementation and three years data-driven process analysis required; consulting experience a plus. Strategic AI pipeline development in a traditional manufacturing setting.
Requirements
- Completed studies in (Business) Informatics, Engineering, Mathematics, Physics, or Business Administration with quantitative and technical focus
- Minimum three years in data-driven process analysis and optimization/redesign with digital tools
- At least one year identifying and implementing AI automation solutions
- Consulting experience (plus)
- Profound understanding and practical experience with AI technologies
- Application of AI for efficiency gains
- Excellent analytical skills
- Quick comprehension
- Structured presentation of complex business and technical contexts
- Experience with process modeling (BPMN 2.0)
- Experience with data-driven analysis
- Good system and process knowledge (sales, administration, production)
- SAP S/4HANA experience (ideally)
- Familiarity with statistical methods
- Familiarity with analytical tools
- Foundational programming (R, Python)
- Familiarity with cloud environments
- Fluency in English
- Strong problem-solving skills
- Proactivity
- Assertiveness
- Experience with project and change management methodologies
- Fluency in German (plus)
Tasks
- Identify and map processes for AI automation via Process Mining.
- Prioritize AI opportunities based on potential impact.
- Collaborate with experts on AI use cases.
- Conceptualize AI product solutions for multiple needs.
- Co-develop and refine the AI project pipeline.
- Integrate AI process redesign and products across the value chain.
- Prioritize initiatives to eliminate repetitive tasks.
- Prioritize initiatives to improve output.
- Prioritize initiatives to scale operations.
- Evaluate, conceptualize, and guide AI solution implementation from a business perspective.
- Ensure seamless AI integration for documented benefits and efficiency.
- Establish innovative AI-enhanced digital processes.
- Develop and deliver AI training for Process Owners.
- Teach AI automation principles and tools.
- Instruct on AI methodologies and business cases.
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- chatbots
- RPA
- self-learning agents
- BPMN 2.0
- SAP S/4HANA
- SQL
- BigQuery
- Google Analytics
- R
- Python
- cloud environments
About the Company
Villeroy & Boch Group
Industry
Manufacturing
Description
Das Unternehmen ist einer der weltweit führenden Hersteller im Keramik- und Lifestyle-Sektor und bietet innovative Produkte in den Bereichen Dining & Lifestyle sowie Bath & Wellness an.
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