Senior Manager, AML Data, Global AML

Scotiabank•Toronto, ON

1d•Onsite

About The Position

The Senior Manager, contribute to the overall success of the Compliance and AML Data team globally ensuring specific individual goals, plans and initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensure all activities conducted are in compliance with governing regulations, internal policies and procedures. In this role, you will: Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Own the operationalization of AML Data and connect into AML initiatives to ensure the Data requirements for AML businesses including Transaction Monitoring and Client Risk Rating, are delivered in adherence with AML data quality standards Work closely with AML technology and AML Product Owners to ensure data issues remediation and data enhancements are delivered timely and in accordance to the business requirements Lead and manage end-to-end data enablement initiatives, ensuring projects are successfully delivered on time, within budget and in alignment with business requirements, including but not limited to: Data exploration to identify opportunities for optimal data enablement solutions Data profiling, data quality assessment, and source system analysis to ensure data suitability and completeness Definition and implementation of data transformation, standardization, and mapping logic to conform data to target structures Documentation of data requirements, mappings, and transformation rules with full traceability to business needs Execution of data validation, Business Acceptance Testing (BAT), and Post‑Implementation Validation (PIV) Collaboration with AML stakeholders and technology teams to ensure data solutions meet business and regulatory expectations Lead and coordinate AML data projects across business and technology teams, ensuring timely delivery through effective tracking and execution Provide strong oversight and subject‑matter expertise on data modeling and database design, including logical and physical data models, relational structures, normalization, and designing scalable data solutions to support AML analytics and reporting Provide strategic direction on AML data architecture, sourcing, and lineage, partnering with AML Technology and enterprise data teams to influence design decisions and resolve cross‑platform trade‑offs. Own BAU AML data exception management, including control design, dashboards, reconciliations, investigation, root‑cause analysis, remediation, and sustained resolution. Lead AML Data Governance implementation across domains, including CDE identification and registration, data source certification, lineage and flow documentation, metadata management, and data quality control design and monitoring. Identify and drive opportunities for efficiency and automation across data management and data enablement processes. Drive Data Working Group forums with Business Process Owners, Data Custodians, and key stakeholders to align on priorities, risks, and delivery commitments. Act as the primary AML Data partner to Internal Audit and Compliance Testing, owning issue response, remediation planning, execution, and closure. Identify and facilitate AML key risk indicator (KRI) reporting to surface insights that improve AML effectiveness and minimize risk. Lead, coach, and develop a high‑performing AML Data team, building deep capability in data sourcing, acquisition and enablement Support project execution by engaging business and technology stakeholders and fostering cross‑functional collaboration to improve delivery speed and quality 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 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 with respect to operational, compliance, AML/ATF/sanctions and conduct risk. Champion a high-performance environment and contribute to an inclusive work environment.

Requirements

University degree in Computer Science, Economics, Finance, or a related field
Minimum 7+ years experience delivering complex data solutions, preferably within Financial Institutions
Strong technical skills, including 5+ years hands‑on experience with SQL
Experience leading cross‑functional data projects, ensuring timelines are met and results delivered
Extensive experience with data mapping, data transformation and standardization, proof‑of‑concepts, and data quality issue investigation
Strong understanding of data modeling and database design, including logical and physical data models supporting scalable AML data solutions
Strong ability to influence and communicate across business units, IT, Operations, and executive stakeholders
Excellent communication skills, including executive‑level material preparation
Advanced Excel and executive‑level PowerPoint skills
Firm understanding of Data Governance practices and principles
Leadership and project management experience, including building and executing strategic roadmaps
Curious, proactive, results‑oriented, customer‑focused, and highly attentive to detail

Nice To Haves

Working experience with Python and Power BI preferred

Responsibilities

Own the operationalization of AML Data and connect into AML initiatives to ensure the Data requirements for AML businesses including Transaction Monitoring and Client Risk Rating, are delivered in adherence with AML data quality standards
Work closely with AML technology and AML Product Owners to ensure data issues remediation and data enhancements are delivered timely and in accordance to the business requirements
Lead and manage end-to-end data enablement initiatives, ensuring projects are successfully delivered on time, within budget and in alignment with business requirements
Lead and coordinate AML data projects across business and technology teams, ensuring timely delivery through effective tracking and execution
Provide strong oversight and subject‑matter expertise on data modeling and database design, including logical and physical data models, relational structures, normalization, and designing scalable data solutions to support AML analytics and reporting
Provide strategic direction on AML data architecture, sourcing, and lineage, partnering with AML Technology and enterprise data teams to influence design decisions and resolve cross‑platform trade‑offs.
Own BAU AML data exception management, including control design, dashboards, reconciliations, investigation, root‑cause analysis, remediation, and sustained resolution.
Lead AML Data Governance implementation across domains, including CDE identification and registration, data source certification, lineage and flow documentation, metadata management, and data quality control design and monitoring.
Identify and drive opportunities for efficiency and automation across data management and data enablement processes.
Drive Data Working Group forums with Business Process Owners, Data Custodians, and key stakeholders to align on priorities, risks, and delivery commitments.
Act as the primary AML Data partner to Internal Audit and Compliance Testing, owning issue response, remediation planning, execution, and closure.
Identify and facilitate AML key risk indicator (KRI) reporting to surface insights that improve AML effectiveness and minimize risk.
Lead, coach, and develop a high‑performing AML Data team, building deep capability in data sourcing, acquisition and enablement
Support project execution by engaging business and technology stakeholders and fostering cross‑functional collaboration to improve delivery speed and quality
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 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 with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
Champion a high-performance environment and contribute to an inclusive work environment.