Data Platform Risk and Operations Analyst

Company: Scotiabank

Location: Toronto, ON M5H 1H1

Type: Full-time

Level: mid

Posted: 2026-02-17

About this role

Requisition ID: 250546

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Data Platform Risk & Operations Analyst will support the Enterprise Data & Artificial Intelligence, Platform Data & Operations team, by providing risk analysis, documentation, reporting & data management support. This role combines technical expertise in data visualization and dashboard management with strong risk management acumen to deliver actionable insights and help reduce risk across Scotiabank’s legacy and emerging data and AI capabilities. Expertise in data platforms, Cloud, security and operations is considered an asset.

The role reports to the Senior Manager, Operations, Data Platform & Operations.

Is this role right for you? In this role, you will:

  • Contribute to the design of the overall risk and issues management framework, delivery/operating model and related processes in compliance with the Bank’s broader Enterprise standards;
  • Supports periodic effectiveness reviews and contributes to continuous improvement of the team’s internal processes;
  • Working with the Senior Manager and other relevant stakeholders, develop actionable project plans to address data/platform risks and issues within required timelines;
  • Manage the team’s internal and/or external risk & issues management documentation, reporting, tracking, and dashboards, providing insights and recommendations to the Senior Manager as well as ensuring accuracy in metrics, KPIs and KRIs;
  • Prepare and deliver weekly and monthly updates to various forums and stakeholders;
  • Manages preparation and writing of audit related documentation, required evidence, and closure packages and coordinates responses/communication with relevant stakeholders;
  • Maintain awareness of data security, compliance and platform concepts to support ongoing reporting and risk management needs;
  • Ensure adherence to data reporting standards and methodologies;
  • Uphold integrity ...

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