Job
- Level
- Experienced
- Location
- Frechen, Essen
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you identify and prioritize AI use cases, analyze business processes, and develop actionable solution concepts to maximize the benefits of AI in operational workflows.
Job Technologies
Your role in the team
- You identify, structure, and prioritize AI use cases with measurable added value for business processes, operational workflows, and cross-functional functions.
- You analyze business processes, requirements, and data contexts together with the specialist departments and derive concrete target images, business cases, success criteria, and roadmaps from them.
- You translate technical requirements into actionable AI solution concepts, features, user stories, and decision templates for interdisciplinary teams, serving as the interface between data science, software development, and the business domain.
- You assess the technical feasibility, data availability, integration requirements, and economic viability of AI initiatives and support prototypes, pilots, and production deployments.
- You will undertake relevant technical tasks such as prompt engineering, data and result evaluation, model/tool selection, quality checks, as well as the professional management of AI, data, and
- You communicate the opportunities, limitations, risks, and outcomes of AI clearly to stakeholders and support departments in adoption, change management, and sustainable utilization.
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Our expectations of you
Education
- You have a completed higher education or university degree, e.g., in Business Informatics, Business Administration, Industrial Engineering, Data Science, or Information Technology.
Qualifications
- You can develop requirements, process diagrams, use cases, user stories, business cases, and decision templates in a structured and audience-appropriate manner.
- You work analytically, solution-oriented, and independently, and you can bring together different interests from departments, IT, Data teams, and management.
- You possess excellent communication, moderation, and presentation skills, as well as good German and English language skills, both written and spoken.
Experience
- You bring experience in business analysis, requirements management, process analysis, digitalization, or AI/Data projects.
- You understand the fundamentals of modern AI, particularly generative AI, LLMs, data analysis, automation, and their applications in business processes, and you have experience in traditional ML, Deep Learning, NLP / LLM, Computer Vision, and / or generative AI.
- You have a solid technical understanding of data flows, interfaces, cloud platforms (Cloud Platform MS Azure), and AI tools. This includes extensive experience in Python software development as well as proficient handling of SQL and data pipelines.
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What we offer
- Attractive compensation plus additional benefits such as employer-funded retirement plans and employee discounts.
- Excellent work-life balance with flexible working in the office and remote (hybrid working).
- Collaboration in international teams.
- Canteen and coffee bar as well as sufficient parking spaces and good transport connections.
- Diverse opportunities for further training & coaching.
- Workplace security and interesting future prospects.
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Benefits
Work-Life-Integration
- π Home Office
- π ΏοΈEmployee Parking Space
- πExcellent Traffic Connections
- β°Flexible Working Hours
- πΌDay Care for Kids
Higher Take-Home Pay
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
RWE AG
RWE AG is an essential part of the European energy system, ensuring security of supply for Europe. With its three operating segments - lignite & nuclear power, European electricity generation from gas, coal, hydropower and biomass, and energy trading - it is one of the leading European energy companies.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy