AI Enablement Manager (all genders) in München

Join ourRoland Berger AI Labas anAI Enablement Managerand shape innovative, scalable GenAI solutions that deliver real value for our clients and Roland Berger. Our mission: to rapidly, securely, and sustainably scale AI expertise across client projects.

You will own theintroduction, enablement, and governance of GenAI platformsfor internal and client-facing projects, developing strategies that empower consulting and business units, designing impactful training and advocacy programs, and cultivating an AI community to drive adoption and innovation. As a key representative of Roland Berger, you will manage strategic relationships with AI providers, cloud vendors, and technology partners, engage in partnership discussions, evaluate emerging capabilities, and stay current on the latest GenAI trends and their implications for clients.

Bridging the gap between developers and C-suite executives, you will provide strategic direction and manage complex AI initiatives. With hands-on technical expertise, you will guide the development, deployment, and integration of AI solutions on platforms such as Azure, AWS, or GCP while mentoring junior team members. In close collaboration with IT, security, legal, and business units, you will drive the roadmap and adoption of AI products and platforms, establish governance and monitoring processes, and ensure safe, compliant use, delivering measurable business impact at scale.

Qualifications

• Master's degree or equivalent in a quantitative, technical, business, or related field
• 8+ years of experience inthe following areas: AI/GenAI, technology enablement, digital transformation, data science, or AI product management. Experience in consulting is a plus.
• Proven track record of driving technology or AI adoption and organizational change at scale, including enablement, training, advocacy, change management, and community-building initiatives involving executive, business, and technical stakeholders
• Strong understanding of GenAI platforms, model capabilities, use cases, limitations, and integration requirements, with the ability to translate technical concepts into business value
• Solid technical fluency across data science, AI product development, and cloud platforms (Azure, AWS, or GCP)
• Good understanding of AI Platform Operations, MLOps, and LLMOps, including lifecycle management, evaluation, monitoring, governance, security, observability, and cost control
• Proven ability to lead cross-functional AI initiatives, establish governance structures and best practices, and drive safe, compliant AI adoption in collaboration with IT, security, legal, and business teams
• Experience mentoring teams and working in agile environments such as Scrum or Kanban.
• Excellent communication skills in English; German is a plus