Business Information Management Analyst-1

TD•Toronto, ON

1d•Onsite

About The Position

The Financial Crime Risk Management (FCRM) group at TD Bank Group (TDBG) is accountable for establishing an Enterprise Anti-Money Laundering (AML) and Anti-Terrorist Financing (ATF) program to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates. This includes setting consistent standards across business segments that may be further tailored to specific business or jurisdictional requirements, conducting annual enterprise-wide AML risk assessments, maintaining the Global AML Policy (including Know Your Customer (KYC) and Enhanced Due Diligence on High-Risk Customers); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists; a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees, and independent AML testing. We are looking for a Business Information Management Analyst to join the Data Strategy and Management team, where the role will focus on leading data issue resolution and owning data risk metrics reporting in alignment with established data management standards and EDMO requirements. Success in this role requires a strong governance mindset, the ability to lead complex and ambiguous discussions, drive accountability, and ensure rigorous execution across the full issue lifecycle—from intake to remediation and closure.

Requirements

Undergraduate degree
7+ years of data management focused experience in an AML or Risk Management background.
Strong in data analysis; solid understanding of how data is enabling AML capabilities, able to explain "so-what" from AML risk & control perspective.
Demonstrated stakeholder management skills.
Excellent at driving multiple stakeholders towards a common goal.
Strong and demonstrated communication, writing, and presentation skills.
Ability to work effectively in a fast-paced environment while demonstrating flexibility to adjust to changing work priorities.
Highly organized and diligent individual with the ability to work independently and manage multiple workstreams.

Nice To Haves

Experience working with data issue management tools (e.g., ServiceNow or equivalent) is an asset.

Responsibilities

Partner with Business and Technology stakeholders to interpret and operationalize Enterprise Data Management Office (EDMO) standards, policies, and methodologies, ensuring consistent implementation across FCRM data initiatives and adherence to established SLAs.
Lead structured intake and triage sessions to assess data issues, determine classification (data concern vs defect vs BAU), and align stakeholders on ownership, scope, and next steps prior to formal ticket creation.
Support data design and development initiatives by analyzing business data, defining requirements, and ensuring alignment with standards, and AML use cases.
Lead day-to-day execution of the Data Concern Management practice across FCRM, Data as a Service (DaaS), Technology, and Lines of Business, including issue prioritization, investigation, and timely resolution of high-priority data issues within SLAs.
Serve as the primary escalation point for critical data risks and issues; execute mitigation and resolution actions to restore issue status and performance metrics to Green.
Proactively identify, escalate, and communicate material risks requiring executive attention, delivering clear problem statements, impact assessments, and actionable recommendations to Senior Management, AVP, and VP audiences.
Provide regular updates to the AVP, Data Strategy & Management on the status and month-over-month trends of high-priority data issues and remediation outcomes.
Maintain deep knowledge of upstream data sources, AML platforms, and critical data elements supporting Money Laundering /Terrorist Financing detection capabilities, while staying current on regulatory changes and enterprise data management standards.
Drive continuous improvement of the Data Issue Management practice by identifying process efficiencies, strengthening controls, and fostering technical and soft-skill development within the team to support a strong risk management culture.