AI Manager – Enterprise Applications (all genders) at Roland Berger

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Orchestration, Enterprise Applications, Data Science, Cloud Platforms, AI Solutions, Governance, Security, Integration, Stakeholder Management, Technical Leadership, MLOps, APIs, Model Lifecycle Management, Containerization, Event-Driven Architectures, Communication Skills

Industry

Business Consulting and Services

Description

Company Description Roland Berger is one of the world's leading strategy consultancies with a wide-ranging service portfolio for all relevant industries and business functions. We cherish different perspectives and approaches and count on the diversity and authenticity of our employees. Driven by our values of entrepreneurship, excellence, and empathy, we at Roland Berger are convinced that business and society need a new sustainable paradigm that takes the entire value cycle into account. Our cross-competence teams work with our clients to successfully address the challenges of our time, today and tomorrow, across all industries and business functions. If you like to take the initiative and make a difference as part of a team, Roland Berger is the right place for you. Job Description The Central IT Enterprise Applications team is responsible for shaping and running our enterprise AI orchestration platform. We work at the intersection of business, data/AI, and infrastructure, ensuring secure, scalable, and value-driven integration of AI capabilities into our business applications. Our team collaborates closely with stakeholders across the organization to deliver innovative AI solutions that meet governance, security, and quality standards. Your key responsibilities are: Design, implement, and maintain the AI orchestration platform as part of our enterprise application landscape (e.g. APIs, MCP connectors, model routing, monitoring, security and access layers). Define technical standards, reference architectures, and reusable components for integrating AI solutions, in close collaboration with Central IT infrastructure and cloud teams. Work with business stakeholders to identify, prioritize, and refine AI use cases that can be delivered via the AI orchestration platform. Coordinate with data scientists, application owners, and external partners to design robust, scalable, and maintainable end-to-end AI solution architectures. Establish governance, standards, and operating procedures for AI usage (including data protection, responsible AI, model lifecycle management, access control, logging, and monitoring). Oversee incident and change management, as well as continuous improvement of AI services in production, ensuring stable operations and compliance with internal and external regulations. Develop and maintain the AI platform roadmap in alignment with our enterprise application and cloud strategies, including build-vs-buy decisions and technology selection. Manage relationships with AI and cloud vendors, negotiate and monitor contracts and SLAs, and contribute to planning and controlling the budget for AI platforms and services. Offer technical leadership to AI engineers, developers, and partner teams working with the AI orchestration platform (e.g. best practices, code and architecture reviews, platform standards). Enable and upskill key stakeholders (product owners, developers, super users) through guidelines, documentation, and training to foster consistent and effective AI adoption across the organization. Qualifications Master’s degree in Computer Science, Data Science, Information Systems, Engineering or a related technical field, or a comparable qualification with strong practical experience in AI/ML and enterprise IT. Professional certifications in cloud platforms or AI/ML (e.g. Azure, AWS, GCP, MLOps) are a plus. Typically 9–10 years of experience in enterprise IT or digital product development. Proven experience in designing and operating data/AI or integration platforms in a complex, international environment. Track record of leading cross-functional technical initiatives (ideally involving AI/ML, automation, or advanced analytics) and working closely with business stakeholders. Deep understanding of AI/ML concepts (e.g. model lifecycle, MLOps, LLMs, orchestration, monitoring) and their integration into enterprise applications and processes. Solid knowledge of cloud-native architectures and services relevant for AI platforms (e.g. containerization, APIs, event-driven architectures, identity & access management). Ability to design and communicate end-to-end solution architectures, bridging business requirements and technical implementation. Familiarity with operating models, governance, and risk/compliance for data and AI (information security, privacy, responsible AI principles). Strategic and analytical mindset with the ability 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 in a clear, accessible way. Ability to provide technical leadership without formal line responsibility, coordinating and guiding virtual, cross-functional, and external teams. High degree of ownership, reliability, and solution orientation; comfortable in a dynamic environment and motivated to drive change and innovation. Fluent written and spoken English; additional languages are an advantage. Additional Information Have we aroused your interest? We are looking forward to receiving your complete application documents (resume, academic testimonials and work references). For further details on the position, please visit www.join.rolandberger.com. If you have any questions, please do not hesitate to contact Julia Obermair by phone: +49 89 9230 9169

Responsibilities

The AI Manager will design, implement, and maintain the AI orchestration platform, ensuring secure and scalable integration of AI capabilities into business applications. They will also establish governance and operating procedures for AI usage and oversee incident and change management.