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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

  • The candidate must have 5 to 8 years of experience in consulting, digital transformation, data or AI, or change management.
  • The candidate must have a higher-education qualification at licence or master's level from an academic program of excellence.
  • The candidate must have confirmed experience managing complex engagements and teams, with responsibility for deliverable quality, timelines, budgets and client satisfaction.
  • The candidate must have strong command of generative and agentic AI and be able to design, challenge and evolve functional AI agents and solutions using no-code, low-code or vibe coding, and guide teams in building them.
  • The candidate must have experience designing and managing skills-development initiatives and AI adoption programs, as well as transforming processes, roles and work practices.
  • The candidate must be able to engage senior stakeholders, align stakeholders, develop consultants and contribute to business development.
  • The candidate must have excellent spoken and written French and English.

Responsibilities

  • Lead AI Adoption engagements and programs that move AI from experimentation to business transformation.
  • Define skills-development initiatives, agent-building programs and change support with executives and business leaders.
  • Identify business-user challenges, processes and pain points, and develop functional AI solutions and engaging learning experiences.
  • Coordinate bottom-up initiatives with large-scale transformation programs in collaboration with AI Strategy and Engineering teams.
  • Scope engagements with learning and development, human resources, sponsors and business teams by defining target populations, priorities, measurable objectives and differentiated learning paths.
  • Design a scaling strategy combining sessions, digital content, coaching, champions and knowledge transfer to internal teams.
  • Manage a portfolio of operational use cases, assessing value, feasibility, risk, build capacity and sprint sequencing.
  • Organize discovery workshops and have authorized stakeholders resolve dependencies, access and governance issues.
  • Manage budgets, schedules, staffing, learning quality and satisfaction; make necessary trade-offs and develop the team.
  • Oversee learning assets, lead high-visibility sessions and ensure alignment between exercises, platform capabilities and business needs.
  • Oversee low-code and no-code solutions, standards, test suites, 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 adoption.
  • Coordinate rollout, user training and client handover, including management relays, communities, routines and office hours.
  • Manage feedback loops and value indicators, and lead a change plan when designated for a specific engagement.
  • Define skills, autonomy and usage indicators, report results to sponsors and adjust the approach.
  • Contribute to presales, estimates, costing and proposals, identifying relevant client expansions.
  • Assess whether co-delivery with Solutions Engineering or the client's IT department is needed, without overstepping their technical authority.

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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