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Artefact

Data and AI-driven business transformation consulting

Senior Consultant - Data & AI Strategy

Strategy & Management ConsultingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 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.
  • A completed university degree (Bachelor’s or Master's) in Business Administration, Economics, Computer Science, Business Informatics, Physics, Mathematics, or a comparable quantitative field is required.
  • You have a strong affinity for data management and modern AI technologies and are familiar with concepts like Generative AI, large language models, or predictive analytics.
  • You combine analytical skills with a business-oriented perspective and can translate business problems into practical AI and data-driven solutions.
  • You are confident working with PowerPoint and Google Slides to produce polished client-ready output. You can leverage AI tools, from large language model environments to agentic workflows, to run analysis, generate insights, and accelerate delivery. Comfort with structured data and a hands-on attitude toward new tools are expected.
  • You communicate complex technical topics clearly in German and English and can collaborate across different levels and functions, including translating requirements between business stakeholders and data scientists.
  • You are proactive, structured, solution-oriented, client-focused, and have stakeholder understanding.
  • Business-fluent German and English are required for client workshops, presentations to senior stakeholders, and written deliverables.
  • A valid work permit for Germany is required.

Responsibilities

  • 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.
  • Collect, synthesise, and iterate data to create actionable insights, using AI-native tools such as Claude, Gemini, ChatGPT, n8n, and Lovable, coding assistants, and automation platforms; communicate findings to technical and non-technical stakeholders.
  • Take ownership of project workstreams and ensure high-quality, timely delivery aligned with project goals, collaborating within interdisciplinary teams across consulting, data, and technology functions.
  • Support development of data strategies, AI use cases, and business intelligence solutions, contributing to governance frameworks and implementation roadmaps where relevant.
  • Share knowledge, stay up to date with digital and AI trends, and support continuous team development.
  • Support client proposals, shape new service offerings, and create intellectual capital such as frameworks, points of view, and benchmarks.

Desired Qualifications

  • Familiarity with SQL or Python is a plus.
  • Hands-on experience in AI use-case conceptualization or data platform tracking is ideal.
  • Experience with SQL, business intelligence tools, or programming languages is not required, but comfort with structured data and a hands-on attitude toward new tools are expected.
  • Additional languages are a plus.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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