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Artefact

Data and AI-driven business transformation consulting

AI Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeBrussels, BelgiumNo salary listed

About the Job

Requirements

  • A higher-education qualification in engineering, business, computer science, data/AI, or an equivalent field.
  • Confirmed experience managing digital, data, or AI programs in complex environments; consulting experience is an asset.
  • Demonstrated ability to structure, prioritize, and track a portfolio of use cases from ideation through large-scale deployment.
  • Good understanding of generative AI technologies, business assistants, automation, data platforms, and digital solutions.
  • Expertise in governance, data security, compliance with GDPR and the AI Act, and IT standards.
  • Experience in change management, user adoption, training, and facilitating business communities.
  • Ability to coordinate multiple stakeholders across business, IT, data, architecture, suppliers, and management, and produce decision-oriented reporting.
  • Proficiency in English is required; Dutch or French is a significant advantage in the Belgian market.
  • Ability to lead transversally and influence without direct hierarchical authority.
  • Structured, pragmatic, results-oriented approach; strong communication, synthesis, and ability to explain complex topics clearly; service orientation toward business functions and understanding of operational needs; ability to arbitrate, prioritize, and secure commitments; technological curiosity and openness to innovation.

Responsibilities

  • Identify potential partners and innovative technology solutions in collaboration with technology leads.
  • Collaborate with business units and ecosystems to identify and apply market best practices.
  • Conduct regular opportunity reviews with leadership.
  • Structure and manage the generative AI roadmap as operational programs.
  • Gather needs from business functions.
  • Prioritize use cases based on business gains, technical maturity, risks, and dependencies.
  • Track key milestones, including proof of concept, pilot, deployment, and broader rollout.
  • Establish and facilitate generative AI governance.
  • Ensure project compliance with data security requirements, GDPR, the AI Act, and enterprise standards.
  • Produce clear, concise, decision-oriented reporting for governance bodies and executive committees.
  • Guide projects through progression from proof of concept to pilot and industrial deployment.
  • Ensure consistency between local solutions and shared platforms.
  • Safeguard the quality, robustness, and maintainability of deployed solutions.
  • Coordinate business teams, data, IT and cybersecurity teams, and external partners.
  • Resolve cross-domain priorities in alignment with overall strategy.
  • Drive user adoption of copilots, generative AI agents, and business assistants.
  • Design appropriate training approaches, including e-learning, champion networks, and internal communications.
  • Measure actual solution usage and value created in business operations.

Desired Qualifications

  • Consulting experience is an asset.
  • Proficiency in Dutch or French is a significant advantage for the Belgian 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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