The AI Job Search Engine
AI Consultant(m/w/x)
Internal AI adoption and role-based training for a B2B mobility payment platform with 2,200+ employees. Three years of business consulting and hands-on low-code/no-code implementation experience required. 60/40 hybrid model, flexible working hours.
Requirements
- Degree in Business Informatics, Computer Science, or related field
- Three years experience in business consulting or product management
- Experience implementing AI or automation initiatives
- Knowledge of Agentic AI, LLMs, and prompt engineering
- Hands‑on experience with low‑code / no‑code tools
- Foundational data literacy and impact dashboard building
- Experience with Azure AI Foundry or conversational AI
- Collaborative and independent work style
- Ability to translate technical AI topics into business language
- Strong English skills and German proficiency
Tasks
- Drive AI adoption across the organization
- Ensure AI delivers measurable business value
- Empower business units through role-based trainings
- Conduct AI awareness sessions and demos
- Host open office hours for AI use
- Identify high-value AI use cases
- Analyze team processes, tasks, and challenges
- Design and define suitable AI solutions
- Collaborate with AI and technical teams
- Implement AI solutions with cross-functional teams
- Use low-code and no-code platforms
- Deliver AI-powered applications to business units
Work Experience
Education
Languages
Tools & Technologies
Benefits
Flexible Working
- •Flexible working models
- •Flexible working hours
- •60/40 hybrid model
- •Home office options
Family Support
- •Family-friendly working time models
- •Parent-child offices
Startup Environment
- •Dynamic and agile environment
Modern Office
- •Modern offices
Other Benefits
- •Modern learning environment
Healthcare & Fitness
- •Comprehensive company health management
Company Bike
- •eBike leasing via Jobrad
- q.beyond AGFull-timeWith HomeofficeExperiencedOberhausen, Hamburg, Leipzig, Köln, Darmstadt, Ulm, Augsburg
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AI Consultant(m/w/x)
Internal AI adoption and role-based training for a B2B mobility payment platform with 2,200+ employees. Three years of business consulting and hands-on low-code/no-code implementation experience required. 60/40 hybrid model, flexible working hours.
Requirements
- Degree in Business Informatics, Computer Science, or related field
- Three years experience in business consulting or product management
- Experience implementing AI or automation initiatives
- Knowledge of Agentic AI, LLMs, and prompt engineering
- Hands‑on experience with low‑code / no‑code tools
- Foundational data literacy and impact dashboard building
- Experience with Azure AI Foundry or conversational AI
- Collaborative and independent work style
- Ability to translate technical AI topics into business language
- Strong English skills and German proficiency
Tasks
- Drive AI adoption across the organization
- Ensure AI delivers measurable business value
- Empower business units through role-based trainings
- Conduct AI awareness sessions and demos
- Host open office hours for AI use
- Identify high-value AI use cases
- Analyze team processes, tasks, and challenges
- Design and define suitable AI solutions
- Collaborate with AI and technical teams
- Implement AI solutions with cross-functional teams
- Use low-code and no-code platforms
- Deliver AI-powered applications to business units
Work Experience
Education
Languages
Tools & Technologies
Benefits
Flexible Working
- •Flexible working models
- •Flexible working hours
- •60/40 hybrid model
- •Home office options
Family Support
- •Family-friendly working time models
- •Parent-child offices
Startup Environment
- •Dynamic and agile environment
Modern Office
- •Modern offices
Other Benefits
- •Modern learning environment
Healthcare & Fitness
- •Comprehensive company health management
Company Bike
- •eBike leasing via Jobrad
About the Company
DKV Mobility
Industry
FinancialServices
Description
The company is part of a leading European B2B platform for on-the-road payment solutions, committed to a sustainable future of mobility.
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