You lead AI/GenAI projects for multiple clients from discovery and scoping through to production deployment and rollout.
You drive projects into implementation and have real client-facing experience.
You are familiar with AI fundamentals, LLM integration, creating context, Human–AI Interaction, process automation, Agentic AI, and related topics.
You work closely with our AI, Data Science, Engineering, and Consulting experts as well as with client teams to ensure scope, timeline, risks, quality, and adoption are effectively managed.
Project management for AI/GenAI initiatives at client sites: discovery/scoping, MVP, implementation, rollout.
Technical elaboration and delivery of AI solutions — tech-agnostic and always aligned with the latest market developments.
Translate business objectives into actionable project plans, backlogs, milestones, and decision materials.
Manage stakeholders (from C‑level to business units), facilitate workshops, and run alignment sessions.
Active risk management: data access, security/compliance, evaluation/quality, dependencies, integration, adoption.
Establish and enforce delivery standards: Definition of Done, review/quality gates, documentation, lessons learned.
Close collaboration with a young, dynamic delivery team: prioritization, technical guidance, blocker removal, expectation management.
Requirements
At least 2 years of experience leading and/or delivering complex digital/data/AI projects (consulting experience is preferred).
Understanding of AI projects at a foundational level: LLM/GenAI, RAG, evaluation/quality, data access, integration, etc.
Strong communication and facilitation skills; comfortable engaging with C‑level stakeholders.
Highly structured, strong ownership and a hands-on mindset ("doer, not just a manager").
Languages: Fluent German (C1+), good command of English.
Benefits
Responsibility, training budget, mentoring, and individualized career paths.
Flexible working hours and high remote flexibility.
Exciting projects with well-known brands in media, sports, telecommunications, and industry — from strategic concepts and enablement to implementation.
Opportunity to quickly take on responsibility, advance internally, and develop professionally and personally.
Performance-based growth: the path to AI Director is attainable in a timely manner with strong performance.