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Artefact

Data and AI-driven business transformation consulting

Manager AI Builder

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

About the Job

Requirements

  • Requires 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 level from a highly selective academic program.
  • Requires confirmed experience managing complex engagements and teams, with responsibility for deliverable quality, timelines, budgets, and client satisfaction.
  • Requires strong command of generative and agentic AI and a maker mindset, including the ability to design, challenge, and evolve functional AI agents and solutions using no-code, low-code, and vibe coding, and guide teams in building them.
  • Requires experience designing and managing skills-development initiatives and AI adoption programs, as well as transforming processes, roles, and work practices.
  • Requires ease in working with senior stakeholders, the ability to align stakeholders, develop consultants, and contribute to business development.
  • Requires perfect spoken and written French and English.

Responsibilities

  • Lead AI Adoption engagements and programs, moving AI from experimentation to business transformation, and define skills-development, agent-building, and change-management initiatives with executives and business leaders.
  • Identify users’ business challenges, processes, and pain points, and turn AI opportunities into tangible outcomes by designing learning experiences and building functional AI solutions.
  • Guide organizations through changes to tasks, roles, responsibilities, and skills; connect bottom-up initiatives with large-scale transformation programs in collaboration with AI Strategy and Engineering teams.
  • Frame engagements with Learning and Development, Human Resources, sponsors, and business teams by defining target populations, priorities, observable objectives, and differentiated learning paths.
  • Design a scaling strategy combining sessions, digital content, coaching, champions, and transfer to internal teams.
  • Manage a portfolio of operational use cases, evaluating value, feasibility, risk, build capacity, and sprint sequencing.
  • Organize discovery workshops and have authorized stakeholders resolve dependencies, access, and governance decisions.
  • Manage budgets, schedules, staffing, instructional quality, and satisfaction; make necessary trade-offs and develop teams.
  • Oversee learning assets, lead high-visibility sessions, and ensure alignment among exercises, platform capabilities, and business needs.
  • Oversee low-code and 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 solution adoption, user training, and client handover, including management relays, communities, routines, and office hours.
  • Manage feedback loops and value indicators and, when assigned, the change plan for a specific engagement.
  • Define measures 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 exceeding their technical authority.
  • Ensure engagement 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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