Data & AI Governance Engineer

• Act as the primary bridge between the Data Office and its internal stakeholders Maison and Group.
• Translate Platform changes and technical updates into clear, actionable insights for Cartier stakeholders.
• Facilitate cross-functional collaboration to resolve data issues, connecting the right people and driving solutions forward. Governance & Enablement
• Ensure a smooth and thorough deployment of our operating model across Domains and Regions (data quality, documentation, access management etc.).
• Onboard and train internal teams on data governance principles and best practices.
• Monitor the adherence of our operating model to the target over time, provide regular update on achievement vs target.
• Ensure that the deployment of Cartier AI initiatives are in line with the validated corporate framework., * Ensure a smooth and thorough deployment of our operating model across Domains and Regions (data quality, documentation, access management etc.).
• Onboard and train internal teams on data governance principles and best practices.
• Monitor the adherence of our operating model to the target over time, provide regular update on achievement vs target.
• Ensure that the deployment of Cartier AI initiatives are in line with the validated corporate framework

AI Governance Framework

• Ensure the deployment of Cartier AI initiatives are in line with the validated corporate framework.

Data Platform Operations and continuous improvement

• Ensure a smooth run of daily operations on our data platform (Incident management, quality assurance etc.).
• Proactively bring initiatives, encourage sharing of best practices, in a continuous improvement mindset.

• Master's degree in Engineering, Computer Science, Data Science, Information Systems, Business Administration, or a related field.
• 5+ years experience in a project management role, preferably within a luxury or consumer goods industry
• Strong understanding of data & AI transformation strategies.
• Demonstrated expertise in leading cross-functional teams
• Proficiency in data and analytics concepts, tools, and methodologies
• Excellent communication and stakeholder management skills
• Strong analytical and problem-solving abilities
• Ability to drive change and foster a data-driven culture
• English speaking, French is a plus.