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Artefact

Data and AI-driven business transformation consulting

Manager – AI & Data Consulting

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-time$140k - $160k

About the Job

Requirements

  • Five to seven years of full-time, client-facing work experience in consulting, technology, media, or a related field.
  • Proven experience managing projects and small teams autonomously in a client environment.
  • Demonstrated AI literacy as a builder, including daily use of AI tools for real work and hands-on prototyping with agentic coding tools such as Claude Code, Gemini CLI, Codex, or similar.
  • Comfort with the terminal and modern AI workflows, and the judgment to verify AI-generated output.
  • Working knowledge of at least one AI platform ecosystem—Google (Gemini), Anthropic (Claude), or OpenAI—and core generative AI concepts including retrieval-augmented generation (RAG), agents, and context engineering.
  • Excellent communication skills, including C-level-ready writing and presence, structured storytelling, and precise feedback.
  • An undergraduate degree; business, technology, or another field related to the work is preferred.

Responsibilities

  • Manage projects end to end by structuring sub-streams, distributing work fairly, setting team objectives and key results, and giving sponsors clear visibility.
  • Build robust plans that anticipate deadlines, delays, and risks, and communicate issues before they become surprises.
  • Structure mission deliverables, write C-level executive summaries autonomously, and build presentation storylines with partner support.
  • Maintain the team's quality standard for all deliverables.
  • Ground recommendations in hands-on understanding of the AI stack.
  • Define client needs through interviews with client teams and technology partners, and translate them into strategic data and AI recommendations.
  • Prototype with AI tools, including agentic coding tools such as Claude Code, Gemini CLI, or Codex, to test feasibility and make ideas tangible in workshops and steering committees.
  • Apply context engineering to shape how clients connect AI to their data, documents, and systems, including retrieval-augmented generation, semantic layers, and the Model Context Protocol (MCP).
  • Maintain current specialization in at least one AI platform ecosystem: Google (Gemini), Anthropic (Claude), or OpenAI.
  • Develop people under the role's influence and give precise, actionable feedback on analyses, presentations, and client behavior.
  • Set SMART objectives, conduct evaluations, and keep the team engaged.
  • Coach consultants on AI-native ways of working, including which tools to use, when to use them, and how to verify their output.
  • Mentor junior and senior colleagues toward autonomy.
  • Maximize client satisfaction and help expand client relationships.
  • Build client development strategy with the partner, detect client needs, and shape account-development proposals.
  • Maximize client NPS through delivery quality and relationship care.
  • Contribute to new-business proposals and content development, including research, articles, and business cases.

Desired Qualifications

  • Strategy consulting and/or digital marketing background.
  • SQL or Python skills for hands-on analysis.
  • Experience contributing to proposals and business development.
  • Intercultural experience across global teams.

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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