Artefactlinkedin logo

Senior Consultant (m/f/d) Data & AI Strategy

ArtefactlinkedinBerlin, GermanyPosted 2h agoonsite
via Arbeitnow
<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>Senior Consultant (m/f/d) Data &amp; AI Strategy</strong>, you will sit at the center of this mission. You won't just deliver static slides; you will bridge the gap between technical possibilities and business imperatives, guiding clients from a focused short-term engagement with <em>Mittelstand</em> manufacturers to multi-phase AI transformations with enterprises. In this role, you will take ownership of cross-functional workstreams, drive data-driven decision-making, and actively shape the digital future of our clients.</p> <p>&nbsp;</p> <h3><strong>What you will do:</strong></h3> <ul> <li><strong>Client advisory &amp; strategy:</strong> Work closely with (international) clients to understand their business needs and translate them into data-driven recommendations that support strategic decision-making and business transformation.</li> <li><strong>Data &amp; analysis:</strong> Collect, synthesise and iterate data to create actionable insights. You work with a modern, AI-native toolstack - from LLM-powered environments (e.g. Claude, Gemini, ChatGPT) and agentic workflow tools (e.g. n8n, Lovable) to coding assistants and automation platforms - and communicate findings clearly to both technical and non-technical stakeholders. Familiarity with SQL or Python remains a plus, but the ability to leverage AI tools to accelerate analysis and delivery is what we value most.</li> <li><strong>Project delivery:</strong> Take ownership of project workstreams and ensure high-quality, timely delivery in alignment with overall project goals. Work collaboratively within interdisciplinary teams across consulting, data, and tech functions.</li> <li><strong>Data &amp; AI solutions:</strong> Support the development of data strategies, AI use cases, and business intelligence solutions, contributing to governance frameworks and implementation roadmaps where relevant.</li> <li><strong>Knowledge sharing &amp; collaboration:</strong> Contribute to a strong team culture by sharing knowledge, staying up to date with digital and AI trends, and supporting continuous team development.</li> <li><strong>Business development &amp; thought leadership:</strong> Actively contribute to Artefact’s growth in Germany - supporting client proposals, shaping new service offerings, and creating intellectual capital such as frameworks, point-of-views, and benchmarks that strengthen our market position.</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>&nbsp;</p> <ul> <li><strong>Experience:</strong> You have at least 2–3 years of experience in management consulting, technology consulting, or in-house corporate strategy roles, with a proven track record of participating in data/AI strategy, cloud transformation, or applied AI/Machine Learning projects.</li> <li><strong>Education:</strong> A completed university degree (Bachelor’s or Master's) in Business Administration, Economics, Computer Science, Business Informatics, Physics, Mathematics, or a comparable quantitative field.</li> <li><strong>Data &amp; AI Fluency:</strong> You possess a strong affinity for data management and modern AI technologies. You are familiar with concepts like Generative AI, LLMs, or predictive analytics and are eager to bridge the gap between business needs and AI deployment. Ideally, you have hands-on experience in AI use case conceptualization or data platform tracking.</li> <li><strong>Business &amp; analytical mindset:</strong> You combine strong analytical skills with a business-oriented perspective. You enjoy identifying business problems and translating them into practical AI and data-driven solutions.</li> <li><strong>Technical skills:</strong> You are confident working with PowerPoint and Google Slides to produce polished client-ready output. More importantly, you know how to leverage AI tools - from LLM environments to agentic workflows - to run analysis, generate insights, and accelerate delivery. Experience with SQL, BI tools, or programming languages is not a requirement, but comfort with structured data and a hands-on attitude toward new tools is expected.</li> <li><strong>Communication &amp; collaboration:</strong> You communicate complex technical topics clearly in both German and English. You enjoy working in interdisciplinary teams and collaborating across different levels and functions (e.g., translating requirements between business stakeholders and data scientists).</li> <li><strong>Personal attributes:</strong> You are proactive, structured, and solution-oriented, with a strong client focus and stakeholder understanding. You thrive in dynamic environments and enjoy solving complex problems.</li> <li><strong>Languages:</strong> Business-fluent German and English are required - you will participate in client workshops, present to senior stakeholders, and write deliverables in both languages. Additional languages are a plus.</li> <li><strong>Work Eligibility:</strong> A valid work permit for Germany.</li> </ul> <p>&nbsp;</p> <h3><strong>Why ARTEFACT?</strong></h3> <ul> <li><strong>Impactful client work:</strong> Work on challenging projects with leading national and international clients across data, digitalisation, and advanced data strategy.</li> <li><strong>Career growth opportunities:</strong> We believe in performance over tenure. Your growth is driven by your impact, not your length of service, with clear opportunities to progress and diverse career prospects.</li> <li><strong>Competitive rewards:</strong> A strong compensation package including a performance-based bonus, which is paid out half-yearly.</li> <li><strong>Learning &amp; development:</strong> Join a team of passionate Data Consultants who actively support each other. You'll learn through diverse projects, collaboration, and exposure to leading experts in the field - including international work.</li> <li><strong>Flexibility &amp; time off: </strong>Hybrid working model, 28 days of annual leave, plus your birthday as well as Christmas &amp; New Year's Eve&nbsp;off.</li> </ul> <p>&nbsp;</p> <p><span style="text-decoration: underline;"><strong>This position is based in Berlin or Munich.</strong></span></p> <p><strong>Don't worry if you don't meet all the criteria!</strong> At Artefact, we value motivation, pragmatic problem-solving, and potential above all else.If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you.</p> <p><strong>Diversity &amp; Inclusion at Artefact</strong> &gt; We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are!</p> <p><strong>Ready to take the next step?</strong> Please submit your CV showcasing your experience and passion for this role as a Senior Consultant (m/f/d) Data &amp; AI Strategy. We look forward to receiving your application!</p> <p>&nbsp;</p> <div class="job-preview__description " data-test-description=""> <p><em>If you have any questions, feel free to send us a message at ----- </div>

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