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Artefact

Data and AI-driven business transformation consulting

Director: AI & Data Consulting

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$200k - $230k

About the Job

Requirements

  • Eight to ten years of demonstrated success at a consulting, technology, or media firm, or in-house in a related capacity, with robust experience managing projects and clients.
  • A proven business-development track record and ability to win work, preferably including building a book of business.
  • Experience advising C-level executives on data, digital, or AI transformation.
  • Demonstrated hands-on AI literacy, regularly using AI tools to produce work such as prototypes, analyses, and automations.
  • Working fluency with agentic coding tools such as Claude Code, Gemini CLI, or Codex, and comfort using the terminal with AI guidance.
  • Specialization in at least one major AI platform ecosystem—Google (Gemini Enterprise, Vertex AI), Anthropic (Claude Enterprise), or OpenAI—sufficient to advise on platform selection and adoption.
  • Experience leading and developing consulting teams.
  • Thought leadership at the intersection of data, marketing, and technology.

Responsibilities

  • Serve as the primary contact and trusted advisor to client executives, including CMO, CDO, CIO, and CEO, on data and AI transformation.
  • Develop the client portfolio, grow the US commercial pipeline, and build and present winning proposals.
  • Lead multidisciplinary teams of consultants, data scientists, AI engineers, and analysts, and coordinate Artefact's global offices when needed.
  • Ensure delivery meets Artefact's quality standards and produces measurable impact, not just recommendations.
  • Shape AI and data strategies, operating models, roadmaps, and adoption programs.
  • Guide clients from GenAI pilots to production-grade, governed AI adoption, including agentic AI, AI-native ways of working, and organizational change.
  • Maintain current command of the data, marketing, and technology ecosystem.
  • Bring or build vertical expertise, such as CPG, retail, financial services, healthcare, or telecom.
  • Use AI tools daily for analysis, writing, and prototyping, and set an example for AI-native consulting.
  • Prototype with agentic coding tools, including Claude Code, Gemini CLI, and Codex, to make ideas tangible in pitches and workshops.
  • Maintain specialization in at least one AI platform ecosystem—Google (Gemini Enterprise), Anthropic (Claude), or OpenAI—and advise credibly on platform strategy.
  • Use context engineering to shape how clients connect AI to their data, documents, and systems.
  • Lead and develop the US consulting team through recruiting, mentoring, training, and sharing best practices across countries.
  • Develop the AI literacy of consultants and help them become more capable builders.
  • Contribute to thought leadership through research, articles, business cases, events, and public relations.
  • Communicate successes internally and externally to strengthen Artefact's US market position.

Desired Qualifications

  • Vertical expertise in CPG, retail, financial services, healthcare, or telecom.
  • Experience taking clients from AI experimentation to scaled, governed adoption.
  • Familiarity with context engineering concepts, including retrieval-augmented generation (RAG), semantic layers, knowledge bases, and MCP.
  • An existing network and reputation in the US data and AI market.

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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