Position Overview
The Group Data Office provides the capabilities, standards and tools required to enable Data Quality and Data Observability across the Group. In a federated operating model, the Data Office provides the common framework and enabling capabilities, while Data Quality practices are progressively deployed and embedded within Business teams and Data Domains.
Within the Data Office Quality team, the Data Quality Project Manager will work closely with and directly support the Product Owner responsible for the Data Quality capability in the development and deployment of the Data Quality, Data Observability and Data Quality Agentic AI capabilities. The role combines project management, PMO, data understanding, stakeholder management, communication and emerging AI technologies, working across Data, IT and Business teams with stakeholders at all levels, from technical experts to senior management.
The objective is to bring structure, coordination and execution capacity to the team while progressively taking ownership of key workstreams, including initiatives leveraging AI agents and agentic approaches to automate and enhance Data Quality activities. The role will be instrumental in helping the team accelerate Data Quality adoption across shared Group Data Domains, modernize the tooling and bring Data Quality capabilities closer to Business users.
Key Responsibilities
- Support the delivery and coordination of the Data Quality, Data Observability & Data Quality Agentic AI roadmap and related initiatives.
- Manage projects and workstreams autonomously from planning through execution and follow-up, including 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 clear project reporting, executive presentations, decision-making and communication materials.
- Translate complex Data, AI and technical topics into clear, business-oriented messages.
- Support change management, communication and adoption activities around Data Quality, Data Observability and AI-enabled practices.
- Identify and structure relevant agentic AI use cases, particularly around Data Quality and Data Observability.
- Contribute to the design, prototyping, development and deployment of AI agents, working closely with technical experts and Business stakeholders.
- Take ownership of assigned topics and proactively drive them to completion.
Skills & Competencies
Technical Skills
- Good knowledge of SQL and ability to understand and work with data queries.
- Knowledge of Snowflake and modern cloud data environments.
- Strong proficiency with the Microsoft 365 suite.
- Good general understanding of Data Engineering and Data Analytics concepts and the ability to collaborate effectively with technical teams.
- Knowledge of Generative AI, AI agents and agentic concepts, with an interest in applying them to Data Quality use cases.
- Exposure to AI-assisted development and vibe-coding approaches is a strong advantage.
- Knowledge of Cassandra or other NoSQL technologies would be a plus.
- Hands-on curiosity and willingness to experiment, prototype and leverage AI/GenAI tools to accelerate delivery would be highly valued.
Soft Skills
- Excellent stakeholder management and communication skills.
- Comfortable interacting with both technical teams and senior executives.
- Strong ability to simplify complex topics and adapt communication to different audiences.
- Autonomous, proactive, pragmatic and delivery oriented.
- Ability to switch comfortably between project leadership, stakeholder communication and hands-on exploration of Data and AI topics.
- Professional proficiency in both English and French.
Required Qualifications
Education
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Experience
- Proven experience in Project Management and/or PMO, ideally within 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.
- Previous exposure to AI agent development, prototyping or implementation would be a strong advantage.
