Analyste princ., Gestion des affaires

Overview

Job Title: Senior Business Management Analyst

Department: Enterprise Data Management Office (EDMO)

Team: Data Quality & Control

Location: Toronto, ON (Onsite 4 days/week)

• Data Control Governance & Framework Alignment
• Define, maintain, and evolve enterprise-wide minimum data control requirements in accordance with EDMO standards
• Ensure alignment of EDMO data controls with the Enterprise Control Standard, ORM Control Testing Standard, and Business Governance & Control Standard 1B
• Support the integration of data control inventory with enterprise tooling platforms (e.g., Collibra, eGRC)
• Collaborate with the Procedures and Capability team to update and align procedural documentation and standards with evolving data control needs
• Contribute to the development and refinement of control testing playbooks, job aids, and evaluation workbooks
• Act as a key point of contact for multiple LOBs, providing expert guidance on data control requirements across the data supply chain
• Interpret and communicate control expectations, risk taxonomy implications, and testing outcomes to business and technical stakeholders
• Support the design and execution of control testing activities, including Design Effectiveness and Operating Effectiveness assessments
• Leverage tools such as the EDMO Data Quality Control Evaluation Workbook to scope, document, and report on control performance
• Collaborate with ORM and DRM teams to ensure second-line oversight and compliance with evolving regulatory expectations

• Collibra knowledge and experience is a strong asset.
• Experience in Data Management function, Business Analysis, Data Analysis is a strong asset.
• Hands-on experience with Power
  
  BI would be an asset.
• Strong knowledge of data control frameworks and enterprise data governance principles.
• Working understanding of risk and control taxonomies and their application in data environments.
• Deep expertise in control testing methodologies, including design and operating effectiveness.
• Advanced knowledge of metadata management and metadata modeling.
• Proficiency in collaboration tools such as Jira, Confluence, and SharePoint.
• Familiarity with Microsoft Azure Data Lake and data security classification standards.
• Exceptional communication, interpersonal, and negotiation skills to engage with diverse stakeholders across the enterprise.

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Ensemble, nous réimaginons l’expérience bancaire et ses possibilités pour notre clientèle, nos collègues et nos collectivités.