AI Manager – Enterprise Applications (all genders)
On-siteMunich, Bavaria, Germany or Munich, North Dakota, United States
Job Summary
Own the AI platform by taking end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, agent frameworks, LLM integrations, and model routing infrastructure. Manage end-to-end delivery of AI initiatives, balancing scope, timeline, and quality across cross-functional teams while acting as a key partner to stakeholders. Lead projects and vendors by negotiating contracts, SLAs, and budgets, and monitor performance and delivery. Drive change management to lead adoption initiatives and embed AI capabilities sustainably across the organization. Establish responsible AI frameworks covering agent behavior, model lifecycle, data protection, and access control to ensure regulatory compliance with the EU AI Act and GDPR. Define architecture standards for AI orchestration and review solution proposals without hands-on development. This internal leadership role shapes the enterprise AI orchestration platform within the Central IT Enterprise Applications team, requiring a Master's in Computer Science and 9–10 years of product and tech experience.
Required Qualifications
- Master's in Computer Science, Information Systems, Business Informatics or equivalent
- 9–10 years in product & tech
- at least 3 years in AI product / platform ownership or management
- Experience working in a Consulting environment for at least 3~5 years
- Practitioner with frontier systems such as Claude, ChatGPT, Gemini, etc including advanced features like Claude Cowork, Codex, NoteBookLM, etc.
- Hands-on familiarity with AI orchestration platforms and agent frameworks (e.g. LangChain, Azure AI Foundry, or similar), and LLM-based solutions - as an informed decision-maker, not an engineer
- Proven experience in project and product management (end-to-end delivery in complex environments)
- Strong vendor management skills for contract negotiation, SLA oversight, and supplier relationships
- Demonstrated change management capability - driving adoption, managing resistance, and enabling transformation
- Strategic and analytical mindset; able to turn abstract business needs into actionable AI platform and solution designs
- Strong stakeholder management and communication skills; able to align diverse groups and explain complex technical topics clearly
- Able to lead and coordinate cross-functional, virtual, and external teams without formal authority
- High degree of ownership, reliability, and solution orientation; comfortable in a dynamic, international environment
- Fluent written and spoken English
Desired Qualifications
- additional languages
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