TL;DR
Senior AI Efficiency Manager (AI): Identifying AI-driven automation opportunities and conceptualizing AI Product solutions across the value chain with an accent on leveraging data science methods like Process Mining. Focus on implementing advanced AI and digital solutions, ensuring seamless AI integration to achieve documented benefits and organizational efficiency.
Location: Onsite in Mettlach, Germany
Company
hirify.global Group with its Ideal Standard brand is one of the world's leading manufacturers in the ceramics and lifestyle sector.
What you will do
- Proactively identify and map existing processes to pinpoint AI-driven automation opportunities.
- Collaborate with Business and AI experts to detail specific AI use cases and conceptualize "AI Product" solutions.
- Strategically refine our AI project pipeline, integrating AI-driven process redesign and our AI products across the entire value chain.
- Evaluate, conceptualize, and guide the implementation of advanced AI and digital solutions from a Business point of view.
- Establish innovative, AI-enhanced digital processes.
- Develop and deliver comprehensive training programs for Process Owners on AI-driven automation principles, tools, and methodologies.
Requirements
- Completed studies in (Business) Informatics, Engineering, Mathematics, Physics, or Business Administration with a quantitative and technical focus.
- Minimum three years in data-driven process analysis and optimization/redesign with digital tools.
- Profound understanding and practical experience with AI technologies (chatbots, RPA, self-learning agents).
- Excellent analytical skills, quick comprehension, and structured presentation of complex business and technical contexts.
- Good system and process knowledge in areas like sales, administration, or production, ideally with SAP S/4HANA experience.
- Fluency in English, strong problem-solving skills, proactivity, assertiveness, and experience with project and change management methodologies.
Nice to have
- Consulting experience is a plus.
- Fluency in German is a Plus.
- Familiarity with statistical methods, analytical tools (SQL/BigQuery, Google Analytics), foundational programming (e.g. R, Python), and cloud environments.
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