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Job Description & How to Apply Below
Manager, AML Data - Global AML (Requisition : )
Join a purpose driven winning team, committed to results, in an inclusive and high‑performing culture.
The Manager contributes to the overall success of the AML Data team globally, ensuring specific individual goals, plans, and initiatives are executed in support of the team’s business strategies and objectives. All activities must be in compliance with governing regulations, internal policies, and procedures.
Responsibilities- Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
- Support the operationalization of Compliance and AML Data and connect into initiatives to ensure the requirements for AML businesses are delivered in adherence with Enterprise Data Governance standards
- Manage and contribute to data initiatives activities to completion, ensuring that the projects are successfully delivered on time, on budget and in alignment with requirements, including:
Data profiling, source systems data quality assessment, issue root cause analysis and investigation - Work with AML stakeholders and technology partners to ensure data enablement is conducted in line with business requirements
- Provide data analysis for AML stakeholders to investigate and understand new data projects or implementations
- Support the mobilization of Compliance and AML Data domains by implementing activities included in scope of the respective domains and sub‑domains such as:
Identification of data elements and CDEs (critical data elements) and CDEs registration - Documentation and validation of Data Lineage and Data Flow Diagrams
- Definition of data requirements including business, technical and operational metadata
- Implementation of data quality controls and processes and data quality issue management
- Conduct various data testing:
Quality Assurance Testing (QAT), Business Acceptance Testing (BAT) and PIV (Post Implementation Validation) - Contribute to the definition of business and technical Data Quality rules for the CDE’s
- Participate in the root cause analysis, escalation, and resolution of identified data quality issues for AML Data
- Design, develop, and champion data improvements which may include data process engineering, code development, or data driven dashboards
- Identify opportunities to enhance the efficiency of our data governance processes, while seeking creative ways to streamline workflows
- Organize and moderate Data Working Group meetings with Business Process Owners, Data Custodians, and other key stakeholders
- Support BAU data exception reporting by identifying issues, implementing dashboards and visualizations, reconciling data, and helping investigate and resolve problems
- Support, plan and execute the delivery of required tasks to ensure closure of any outstanding audit issues
- Contribute to the development and training of other team members
- Work with Enterprise Data Office to ensure compliance with data management policies and standards
- Collaborate closely with IT teams of Compliance and AML and with the respective business functions to ensure alignment on priorities, scheduling and execution for data governance coverage and change management initiatives
- Support day‑to‑day activities of projects, engaging with internal technology and business stakeholders and fostering collaboration across functional groups to improve speed and quality of delivery of projects
- Continually acquire and enhance knowledge on data management, data retention, analytics and technology strategies, policies, risk management practices, and regulatory requirements to be able to provide effective support on Compliance and AML data governance coverage
- Understand how the Bank’s risk appetite and risk culture should be considered in day‑to‑day activities and decisions
- Actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day‑to‑day business controls to meet obligations
- University degree in engineering, computer science, finance or any related field
- Minimum 5…
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