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Business Information Management Specialist-2

Toronto, ON, Canada

$96,900 - $136,800 CAD · Full-time

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Job details

Pay: $96,900 - $136,800 CAD
Job type: Full-time
Apply by: Nov 23, 2026
Experience: 7+ years of experience in data management, data engineering, data analysis, data governance, or a related discipline, with demonstrated hands-on data experience.
Posting language: English
Posted: Nov 9, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Data & Analytics

Pay Details:

$96,900 - $136,800 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

The Financial Crime Risk Management (FCRM) group at TD Bank Group (TDBG) is accountable for establishing 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.

Job description

This role supports the FCRM Data Strategy and Management team in designing, implementing, and maintaining data management capabilities and controls aligned with Enterprise Data Management Office (EDMO) requirements. The role requires a strong combination of data management expertise and hands-on technical data analysis, with particular focus on data lineage, critical data elements, data flows, data quality, data controls and SQL-based analysis.

In this role, you will:

Design, implement and maintain data management processes and controls (e.g. data lineage, data supply chain, data quality controls, metadata, reference data, data retention and disposition etc.) for critical and business data elements.
Analyze, develop, validate and maintain end-to-end data lineage and data flows across source systems, databases, data pipelines, transformations, interfaces and downstream AML applications, including source-to-target mappings, field-level transformations, integration points, and upstream/downstream dependencies.
Analyze data structures across relational databases and data platforms, including tables, fields, relationships, joins and transformations, to understand how data is sourced, processed and consumed across AML capabilities.
Define, develop and implement business and technical data quality rules, translating business and regulatory requirements into measurable data quality criteria and appropriate validation logic.
Perform root-cause analysis of complex data issues by tracing data across source systems, transformations and downstream applications; identify control gaps and work with business and technology stakeholders to define appropriate remediation.
Perform data analysis, profiling, validation and reconciliation using SQL to support data quality assessment, issue investigation and ongoing monitoring.
Collaborate with FCRM, DaaS and Technology stakeholders to understand AML applications, data requirements, system architecture, data flows, transformations and upstream/downstream dependencies.
Execute ongoing data management processes and controls to monitor, detect and report data risk state, and escalate issues to AML Capability owners for prioritization and resolution.
Design and implement metrics and dashboards to enable reporting of data quality controls.
Lead day-to-day execution of the Data Issue Management process with stakeholders in FCRM, DaaS, Technology and Lines of Business, ensuring appropriate priority is assigned to data issues, and high-priority data issues are investigated and resolved within the defined SLAs.
Support remediation of regulatory findings and audit issues by working with accountable stakeholders to track actions, maintain supporting documentation and evidence, and drive timely resolution.
Escalate risks and issues impacting the timely resolution of high-priority data issues; develop and execute appropriate risk mitigation and remediation plans and monitor progress through resolution
Develop and maintain knowledge of data available from upstream sources and data within various AML platforms; and data elements critical to AML capabilities.
Develop and maintain an understanding of relevant AML/ATF regulatory requirements, ML/TF risks and business processes necessary to effectively support FCRM data management activities, while remaining current on the Bank's data management standards.
Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.

Leadership & Soft Skills

Strong stakeholder management and influencing skills
Excellent communication, storytelling, and presentation abilities
Ability to manage multiple priorities and workstreams
High level of organization and attention to detail
Ability to work independently in fast-paced environments

Required

Undergraduate degree or equivalent relevant experience.
7+ years of experience in data management, data engineering, data analysis, data governance, or a related discipline, with demonstrated hands-on data experience.
Strong experience with data lineage, data flows, source-to-target mapping, metadata and Critical Data Elements (CDEs).
Strong understanding of relational databases, data structures, tables, joins, transformations and data integration concepts.
Strong hands-on SQL skills, including complex queries, joins, aggregations and reconciliation techniques, with demonstrated experience using SQL for data profiling, validation, reconciliation, root-cause analysis and data quality investigations.
Experience defining and implementing business and technical data quality rules and data controls.
Experience investigating complex data issues across multiple systems and working with business and technology teams to identify root causes and remediation.
Strong analytical, stakeholder management and communication skills.

Assets

Experience with Collibra or comparable data governance, data catalogue, lineage or data quality platforms.
Experience using Python for data analysis, profiling, reconciliation or automation.
Experience with Power BI or comparable visualization/reporting tools.
Experience within AML/FCRM, financial services, regulatory, risk or other highly controlled data environments.
Knowledge of data retention and disposition, reference data and broader data lifecycle management practices.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

The role involves designing and maintaining data management controls, including data lineage, quality rules, and metadata for critical data elements. You will perform complex data analysis using SQL to investigate issues, support regulatory compliance, and collaborate with stakeholders to ensure data integrity across AML platforms.

Requirements

Candidates must have an undergraduate degree and at least 7 years of experience in data management, engineering, or analysis. Strong technical proficiency in SQL, relational databases, and data governance practices is required, along with excellent communication and stakeholder management skills.

Skills

Data management
Data lineage
SQL
Data quality
Data analysis
Metadata management
Stakeholder management
Regulatory compliance
AML/ATF
Risk assessment
Data profiling
Data governance
Root-cause analysis
Data mapping
Reporting
Financial crime risk management

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Management
Data Engineering
Data Analysis
Data Governance
SQL
Data Lineage
Data Quality
AML
ATF
Financial Crime
Regulatory Compliance
Metadata
Relational Databases
Data Profiling
Collibra
Python
Power BI
Risk Management
Data Lifecycle
Source-to-target mapping
Data flows
Critical Data Elements
Data controls
Reconciliation
Root-cause analysis
Business intelligence
Data pipelines
Reference data
Data retention
Stakeholder management

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