AI Manager – Enterprise Applications (all genders)

You will manage the end-to-end lifecycle of AI solutions – from use case intake and design to deployment, monitoring, and continuous improvement. You will ensure AI capabilities are securely and scalably integrated into our business applications while delivering tangible business value and meeting governance, security, and quality standards. You will work at the intersection of business, data/AI, and infrastructure, acting as a key partner and technical leader for stakeholders across the organization.

Your key responsibilities are:

• Own the AI platform – take end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, AI agent frameworks, LLM integrations, and model routing infrastructure; shape the platform roadmap, own the platform budget, and drive build-vs-buy decisions in alignment with IT leadership
• Lead projects & products – manage end-to-end delivery of AI initiatives, balancing scope, timeline, and quality across cross-functional teams
• Manage vendors – primary contact for AI and cloud vendors; negotiate contracts, SLAs, and budgets; monitor performance and delivery
• Drive change management –lead adoption initiatives, manage stakeholder expectations, and embed AI capabilities sustainably across the organization
• Lead governance & compliance – establish responsible AI frameworks covering agent behavior, model lifecycle, data protection, and access control; ensure regulatory compliance with EU AI Act, GDPR, etc.
• Provide technical oversight – define architecture standards for AI orchestration and agent design; review solution proposals (no hands-on development)

• Master's in Computer Science, Information Systems,Business Informaticsor equivalent
• 9–10 years inproduct & tech, with at least 3 years in AIproduct /platform ownership or management
• Experience working in a Consulting environment for at least 3-5 years is required Practitionerwith frontier systemssuch 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 forcontract 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; additional languages are an advantage

Benefits

• Dynamic international work environment with a high degree of professionalism and a steep learning curve
• Modern offices with daily fresh fruit, cereals as well as free hot and cold drinks; canteen or food voucher (depending on location)
• 30 days vacation, flexible working hours, part-time models as well as sabbatical options
• Modern IT infrastructure, laptop and company cell phone also for private use
• Offers of direct insurance, co-financing of company pension scheme, accident insurance, health insurance abroad
• Extensive seminar program as well as individual training and coaching measures as required
• Various fellowship programs for personal and professional development
• Berger Bike Program
• PME family service (including support in finding child or senior care)
• Employee parking spaces
• Relaxed team atmosphere with regular events and sports initiatives

We are looking for anexperienced AI Manager(all genders) to shape and run our enterprise AI orchestration platform within the Central IT Enterprise Applications team. This is an internal leadership role  – not client-facing.