Senior Data Steward

A career as a Senior Data Steward within the Hyper‑Automation team at National Bank means working with a business capabilities transformation unit to define and govern the analytical and operational target for data consumption and exposure within the Service Management domain.

• Work closely with the Service Management domain’s Data Owner and apply data governance and management best practices as defined by the Data Office (CDO).
• Participate in the governance of the domain’s strategic initiatives and collaborate with stakeholders to analyze impacts on data requirements, ensuring that project data is properly governed.
• Identify the needs of data consumers and make recommendations in collaboration with the Data Owner.
• Contribute to the evolution of the business data model and ensure proper documentation of domain data.
• Provide leadership in continuous improvement and data quality management throughout its lifecycle (e.g., defining targets, thresholds, monitoring anomalies).

Within the Hyper‑Automation sector, you will be part of a unit responsible for transforming the sector and will report to the Senior Director - Hyper‑Automation, and in a matrix structure to the Data Owner - Service Management. Our team stands out for its expertise, collaboration, and high‑quality deliverables.

The Bank promotes continuous development and internal mobility. Our personalized training programs, based on hands‑on learning, allow you to master your role and develop new areas of expertise. Tools such as Udemy, the Data Academy, language training, the Harvard Learning Center, and coaching/mentorship support are available to you at all times.

• Bachelor’s or Master’s degree in a relevant field, and 2 to 3 years of experience in data governance, data architecture, data analysis, or any other data‑related field.
• Ability to understand business needs and propose solutions to evolve data models.
• Strong ability to structure and document information in a rigorous and standardized manner.
• Excellent understanding of data quality, traceability, and consistency issues.
• Collaborative mindset and ability to work with multidisciplinary teams.
• Strong business knowledge in service management, case management, or operations management- a significant asset.
• Proficiency with data documentation and governance tools (Collibra, EBX, PowerDesigner, etc.)-an asset.