Consulting Manager (m/f/d) Data & AI Strategy: Leid AI-transformatieprogramma's en stuur complexe organisatieveranderingen met een focus op strategische vraagstukken en stakeholdermanagement. Werk samen met C-level executives om AI-toepassingen te definiëren en de groei van de Duitse praktijk te stimuleren vanuit locaties in Berlijn, Essen, Hamburg of München.
Who/What is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. As a Consulting Manager (m/f/d) Data & AI Strategy , you will act as a trusted sparring partner to executives, steer complex transformation programs across functions, and drive organizational change at scale. Main Responsibilities Lead AI Transformation Programs: Steer end-to-end execution of enterprise-level AI transformations. Identify internal champions, navigate corporate politics, manage structural blockers, and drive measurable user adoption and organizational change. Strategy & AI Use Case Scoping: Work closely with C-level stakeholders to answer high-stakes questions: How can AI reshape their business models? How should they govern data? You don't just advise; you help evaluate model choices, discuss data privacy trade-offs, and conceptualize technical feasibility. Drive Business Growth: Actively drive the growth of our German practice. Take ownership in lead generation and pipeline conversion by engaging prospective clients, shaping proposals, and leading pre-sales and key-account expansion initiatives. Thought Leadership & Advocacy: Represent Artefact's AI Transformation perspective externally. Advance our voice in enterprise AI through expert discussions, content creation (e.g. LinkedIn, whitepapers), and opinionated, hands-on perspectives on applied AI trends and real-world adoption pathways. Advance the Practice: Evolve our methodologies, tools, and frameworks to keep our offering state-of-the-art. Develop reusable transformation playbooks and bring your strategic consulting or technology expertise into the team. Team Leadership & Mentoring: Act as a senior advisor and role model - leading, coaching, and mentoring agile, hybrid project teams (consultants, data scientists, and engineers), fostering a fast-paced, “can-do” culture. Candidate Profile At our heart, we define ourselves by a culture of ownership, intellectual curiosity, and cooperation. We are looking for driven, capable talents who bring strong motivation and curiosity for new challenges. You are a true team player, eager to support others while scaling both the company and your own career. Work Experience: You have approximately 5-8 years of full-time working experience in top-tier management consulting, technology consulting, or strategic corporate in-house roles. A proven track record of successfully leading and delivering data, analytics, or AI-driven transformation projects is essential. Transformation & Change Management: Demonstrated experience leading complex, cross-functional transformation programs, with the ability to manage executive stakeholders, navigate corporate politics, and embed AI capabilities within client organizations. AI Fluency & "Builder Mindset": Strong fluency in modern and applied AI (e.g., GenAI, LLMs, agentic systems, automated workflows). While you don't need to be a full-time programmer, you have a hands-on understanding and can credibly demo working AI concepts and discuss data privacy and technical constraints. Analytical & Technical Acumen: Knowledge about common machine learning techniques, cloud architectures, and data management principles. Excellent quantitative skills to draw strategic insights from complex data sets. Communication & Presence: Outstanding communication, presentation, and moderation skills. You have a strong pr