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AI Business Analyst – m/f/d
Sulzer GmbH. Design solutions from initial concept through implementation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing AI solutions and integrating tools while effectively translating business objectives into technical implementations. Proficient in business analysis and capable of navigating complex problem statements with a focus on governance and regulatory compliance.
Highest-signal resume keywords
AI Solution DesignGenerative AI ExperienceBusiness Analysis MethodsPrototyping and DocumentationBilingual Communication (German and English)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI AgentsLLM-Based SolutionsRequirements GatheringProcess AnalysisSolution ArchitectureEvaluation ApproachesTarget Operating ModelsComplex Problem StructuringPrototypingSustainable Adoption
Soft Skills
Strong Facilitation SkillsConfident PresenceAudience-Appropriate Communication
Tools & Technologies
AI ToolsPrototyping ToolsDocumentation Tools
Industry Keywords
EU AI ActData ProtectionGovernanceConsultingProject-Based Work
About the role
Key responsibilities & impact- Design solutions from initial concept through implementation
- Analyze processes and complex system landscapes, and develop target operating models and solution architectures
- Work with the development team to turn ideas into prototypes and robust, sustainable solutions
- Design AI agents and assistant systems, integrate suitable tools and systems, and define quality criteria, evaluation approaches, and operating models
- Use AI tools strategically for analysis, requirements gathering, solution design, documentation, and prototyping
- Translate business objectives into technically feasible solutions and structure complex problem statements
- Take ownership of the overall outcome and clearly communicate what AI models can deliver and where their limitations lie
- Support clients through their AI transformation—from pilot implementation and scaling to sustainable adoption and measuring success
- Collaborate with the development team, project management, business units, and IT
- Consider governance, data protection, and regulatory requirements such as the EU AI Act
Requirements
What you’ll need- A completed degree in computer science, business informatics, business administration, natural sciences, or a comparable field—or extensive IT and AI experience as a career changer
- Several years of experience at the intersection of business and IT, ideally gained in consulting, project-based work, or traditional software development projects
- Practical experience with generative AI and LLM-based solutions, such as AI agents, Retrieval-Augmented Generation (RAG), prompting, or evaluation—ideally gained in real-world projects
- Proficiency in business analysis methods, from requirements gathering and process analysis through to modeling
- Ability to structure initially ambiguous and complex problem statements and develop robust solutions
- Confident presence, strong facilitation skills, and audience-appropriate communication in German and English
Benefits
Comp & perks- AI innovation driver: Work at the forefront of AI and help advance innovation in your area
- Freedom and development opportunities: Shape our diverse project landscape with an entrepreneurial mindset and develop your skills individually with support from our Sulzer Academy
- Flexible working hours, including flexitime, home office, and other options for family-friendly working
- Value vouchers: Receive a monthly allowance in the form of vouchers for a wide range of providers or as a mobility subsidy
- 30 days of annual leave, plus one additional day for Christmas/New Year’s Eve and one volunteering day to support your social engagement
- Social events
- JobRad bicycle leasing scheme
- A fully stocked drinks fridge, including Club-Mate, and much more