Data Quality Project Manager

About the role

The Group Data Office provides the capabilities, standards and tools for Data Quality and Data Observability across the Group, in a federated model where practices are deployed within Business teams and Data Domains. The Data Quality Project Manager works in the Data Office Quality team, supporting the Product Owner of the Data Quality capability on the Data Quality, Data Observability and Data Quality Agentic AI roadmap. The role combines project management, PMO, data understanding, stakeholder management and emerging AI technologies, working across Data, IT and Business teams.

Key responsibilities

• Support the delivery and coordination of the Data Quality, Data Observability and Agentic AI roadmap and related initiatives.
• Manage projects and workstreams autonomously, from planning through execution and follow-up, covering priorities, milestones, dependencies, risks and actions.
• Coordinate stakeholders across Data, IT and Business teams.
• Support the deployment and adoption of Data Quality practices across Data Domains and Business teams.
• Prepare and facilitate workshops, project meetings, governance forums and Steering Committees.
• Produce project reporting, executive presentations and decision-making materials, and translate complex Data, AI and technical topics into business messages.
• Support change management and adoption of Data Quality, Data Observability and AI-enabled practices.
• Identify and structure agentic AI use cases, and contribute to the design, prototyping, development and deployment of AI agents.

Required profile

• Bachelor's or Master's degree in Computer Science, Information Technology or a related field.
• Proven experience in Project Management and/or PMO, ideally in Data, IT, Digital, AI or Transformation environments.
• Good understanding of Data concepts and environments; experience in Data Quality, Data Governance or Data Observability is a strong advantage.
• Strong experience coordinating cross-functional and complex initiatives.
• Previous people management or team leadership experience.
• Professional proficiency in both English and French.

Required skills

• Good knowledge of SQL and understanding of Snowflake and modern cloud data environments.
• Strong proficiency with the Microsoft 365 suite.
• General understanding of Data Engineering and Data Analytics concepts.
• Knowledge of Generative AI, AI agents and agentic concepts; exposure to AI-assisted development and vibe-coding is a strong advantage.
• Cassandra or other NoSQL knowledge is a plus.
• Excellent stakeholder management and communication skills, comfortable with technical teams and senior executives.