Scotiabank is a leading bank in the Americas, committed to creating an inclusive and accessible environment for everyone. The Manager, Fraud Data Governance is responsible for supporting the overall data governance strategy and deployment of data governance capabilities across the Fraud Management Group, ensuring alignment with Enterprise Data Management policies and fraud business objectives.
Contribute to the overall Fraud Data Governance strategy by supporting the design, refinement, and execution of the Fraud Data Governance roadmap, ensuring alignment with Enterprise Data Management (EDM) policies and fraud business objectives
Support the ongoing evolution of the Global Fraud Management Data Domain, ensuring compliance with data governance standards while identifying opportunities to streamline and automate workflows
Facilitate technical enablement of data governance processes by developing and maintaining SQL and Python scripts to streamline data governance processes, including Critical Data Element (CDE) registration, Data Quality Issue Management (DQIM), technical metadata documentation, and data lineage mapping
Build reusable scripts, templates, and validation routines to support operational efficiency and scalability across the domain
Lead the design and deployment of data quality monitoring frameworks and dashboards, including data quality rule definition, threshold setting, measurement, alerting and reporting
Partner with technology to manage and track data quality issues through remediation, escalation, and reporting cycles
Define Fraud data domain scope & structure, standards, critical data elements, and data quality standards for data Fraud produces integrating input from all business lines and partners e.g. source systems, IT Technology
Establish and maintain fraud critical data elements (CDEs) across all fraud enterprise sub domains e.g, customer, product/account and reference data
Oversee the execution and maintenance of Fraud Data Assets within Universal Catalog
Define and approve requirements for how fraud data should be collected (e.g., data sources including 3rd party sources, format, structure, SLAs, etc.)
Lead Fraud Data Governance forums to enable collaboration with key stakeholders, business partners, Enterprise Data Office, technology teams, audit, and external vendors to support compliant and strategic data usage
Supporting leadership in the creation of data sharing agreements both internal and external maintaining productive relationships with key stakeholders such as Enterprise Data Office, IT Technology, Audit, product groups and external partners
Qualification
Required
University degree with 2+ years' experience in data governance or data analytics role
Strong proficiency in SQL, Power BI report creation and DAX scripting for automation, data quality checks, data processing, or metadata tasks
Hands-on experience with Python and familiarity with data management tools: Collibra, Governance Console, Universal Catalogue, Google Cloud Platform
Understanding of IT application technologies, frameworks and infrastructure
Working knowledge of data architecture, databases, data pipelines, data lineage and data quality concepts
Strong leadership, communication and project management experience
Preferred
Agile experience is an asset
Benefit
Annual bonus
Flexible vacation
Personal and sick days
Comprehensive benefits that start on your first day
Scotiabank is a banking firm that provides banking and financial services.
