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Artefact

Data and AI-driven business transformation consulting

AI Builder Manager

Human Capital & Change ConsultingPosted on Nov 10
Full-timeParis, FranceIn-person

About the Job

Requirements

  • Have 5 to 8 years of experience in consulting, digital transformation, data or AI, or change management, with a higher-education qualification at licence or master's level from an academically excellent institution.
  • Have proven experience managing complex missions and teams, with responsibility for deliverable quality, timelines, budgets and client satisfaction.
  • Have strong command of generative and agentic AI, and the maker mindset to design, challenge and evolve functional AI agents and solutions using no-code, low-code or vibe coding, and guide teams in building them.
  • Have experience designing and managing skills-development initiatives and AI adoption programs, and transforming processes, roles and work practices.
  • Be comfortable engaging senior stakeholders, aligning stakeholders, developing consultants and contributing to business development.
  • Have perfect spoken and written French and English proficiency.

Responsibilities

  • Lead AI Adoption missions and programs that move AI from experimentation to business transformation; define upskilling, agent-building and change-management approaches with executives and business leaders.
  • Translate business users' challenges, processes and pain points into tangible outcomes by designing engaging learning experiences and building functional AI solutions using no-code, low-code or vibe coding.
  • Support organizations in transforming tasks, roles, responsibilities and skills, aligning bottom-up initiatives with large-scale transformation programs in collaboration with AI Strategy and Engineering teams.
  • Conduct scoping with L&D, HR, sponsors and business stakeholders; define target populations, priorities, observable objectives and differentiated learning pathways.
  • Design scaling strategies combining sessions, digital content, coaching, champions and transfer to internal teams.
  • Manage a portfolio of operational use cases, assessing value, feasibility, risk, build capacity and sprint sequencing.
  • Organize discovery workshops and obtain decisions from authorized stakeholders on dependencies, access and governance.
  • Manage budget, schedule, staffing, instructional quality and satisfaction; make necessary trade-offs and develop teams.
  • Oversee learning assets, lead high-visibility sessions and ensure alignment between exercises, platform capabilities and business needs.
  • Oversee low-code/no-code solutions, standards, test sets, documentation and quality gates appropriate to the technical scope and practice standards.
  • Design program reporting architecture with Analytics Engineers; define visualization and KPI standards, coach teams in data storytelling, oversee dashboards and drive their adoption.
  • Coordinate implementation, user training and client handover, including management relays, communities, rituals and office hours.
  • Manage feedback loops and value indicators and, when assigned, the change plan for a specific mission.
  • Define indicators of skills, autonomy and usage; report results to sponsors and adjust the approach.
  • Contribute to presales, estimates, pricing and proposals, identifying relevant client account expansions.
  • Assess whether co-delivery with Solutions Engineering or the IT department is needed, without encroaching on their technical authority.
  • Ensure mission quality, impact and profitability, and develop client accounts alongside Directors and Partners.

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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