Data & ai project manager - 6 months mission

• Play a key role in shaping data and AI transformation at scale.
• Combine project delivery, stakeholder engagement, and AI innovation in one role.

About Our Client

Our client is a well-established international organization with a strong reputation for innovation and excellence. They are investing significantly in data and AI to accelerate business performance and transformation.

Job Description

• Lead end-to-end data and system migration projects across business units
• Ensure data integrity, risk management, and smooth platform transitions
• Plan and manage the rollout of data tools and platforms
• Drive adoption and stabilization of newly deployed solutions
• Design and deliver training sessions for diverse audiences
• Develop and maintain clear technical and process documentation
• Engage and align stakeholders across technical and business teams
• Build and animate a data community across regions and functions
• Identify and structure AI use cases with tangible business value
• Translate AI trends into actionable and relevant opportunities
• Support continuous improvement of data governance and processes

The Successful Applicant

• Proven experience managing complex, cross-functional IT or data projects
• Strong understanding of data ecosystems, architectures, and tools
• Experience with system or data migrations in corporate environments
• Familiarity with data governance, data quality, and lifecycle management
• Exposure to AI, machine learning, or GenAI use cases (professional or personal)
• Ability to translate technical concepts into business language
• Experience in deploying and onboarding digital or data tools
• Strong communication and presentation skills
• Comfortable delivering training sessions and workshops
• Highly structured, proactive, and autonomous approach
• Ability to engage and influence diverse stakeholders
• Fluent in English and French; additional languages are a plus

What's on Offer

• Opportunity to contribute to high-impact data and AI transformation programs
• Collaborative and international working environment
• Flexible working model with partial remote work and multi-site exposure