📋 Descripción
<h3><strong>Who/What is Artefact?</strong></h3>
<p>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.</p>
<p>As a <strong>Consulting Manager (m/f/d) Data &amp; AI Strategy</strong>, you will act as a trusted sparring partner to executives, steer complex transformation programs across functions, and drive organizational change at scale.</p>
<p>&nbsp;</p>
<h3><strong>Main Responsibilities</strong></h3>
<ul>
<li><strong>Lead AI Transformation Programs:</strong> 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.&nbsp;</li>
<li><strong>Strategy &amp; AI Use Case Scoping:</strong> 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.</li>
<li><strong>Drive Business Growth:</strong> 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.</li>
<li><strong>Thought Leadership &amp; Advocacy:</strong> 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.</li>
<li><strong>Advance the Practice:</strong> 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.</li>
<li><strong>Team Leadership &amp; Mentoring:</strong> 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.</li>
</ul>
<p>&nbsp;</p>
<h3><strong>Candidate Profile</strong></h3>
<p>At our heart, we define ourselves by a culture of ownership, intellectual curiosity, and cooperation. <strong>We are looking for driven, capable talents who bring strong motivation and curiosity for new challenges.</strong> You are a true team player, eager to support others while scaling both the company and your own career.</p>
<ul>
<li><strong>Work Experience:</strong> 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.</li>
<li><strong>Transformation &amp; Change Management:</strong> 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.</li>
<li><strong>AI Fluency &amp; "Builder Mindset":</strong> 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.</li>
<li><strong>Analytical &amp; Technical Acumen:</strong> Knowledge about common machine learning techniques, cloud architectures, and data management principles. Excellent quantitative skills to draw strategic insights from complex data sets.</li>
<li><strong>Communication &amp; Presence:</strong> Outstanding communication, presentation, and moderation skills. You have a strong pr