Business Insights Specialist ( Data Quality & Validation)

Work Location:

Toronto, Ontario, Canada

Hours:

0

Line of Business:

Analytics, Insights, & Artificial Intelligence

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 Business Insights Specialist, Data Quality & Validation is an individual contributor responsible for the design, execution, validation, and ongoing monitoring of data quality controls supporting business rules, analytical models, and regulatory / management reporting.

This role serves as a subject matter expert (SME) in data, focusing on data quality and partnering closely with business, analytics, technology, and governance stakeholders to ensure data is accurate, complete, consistent, timely, and fit for purpose across the end‑to‑end data lifecycle.

The role operates without direct people management responsibilities but carries enterprise‑level accountability, influence, and decision authority over data quality standards, validation approaches, and issue remediation outcomes.

Key Responsibilities

Data Quality Rule Design & Execution

Design, implement, and maintain automated and manual data quality rules to validate critical data elements used in models, dashboards, and regulatory or executive reporting.

Define validation logic for accuracy, completeness, uniqueness, validity, consistency, and timeliness aligned to enterprise data standards.

Partner with data engineering and analytics teams to embed data quality controls across data capture, data at rest, data movement, and data usage layers.

Model & Analytics Data Validation

Perform independent validation of data inputs, transformations, and outputs supporting analytical and detection models.

Assess data quality risks impacting model performance, explainability, and downstream decision‑making.

Establish ongoing monitoring metrics and thresholds to detect data drift, anomalies, and control breaks affecting models and analytics.

Reporting & Downstream Data Assurance

Validate datasets used for regulatory, risk, finance, and management reporting, ensuring reported figures reconcile to authoritative sources.

Support reporting owners by identifying data quality gaps, root causes, and remediation actions prior to publication.

Provide data quality attestations, summaries, and insights to governance forums as required.

Monitoring, Metrics & Issue Management

Develop and maintain data quality dashboards and KPIs that track rule performance, exceptions, and trends over time.

Lead investigation of data quality issues, document findings, and drive remediation plans in partnership with data owners and custodians.

Ensure data quality issues are logged, tracked, and resolved in accordance with enterprise data concern and remediation processes.

Governance, Standards & Advisory

Act as a trusted advisor to business and technology teams on Enterprise Data Management Standard published by EDMO.

Contribute to the evolution of enterprise data risk frameworks, policies, and best practices.

Support audits, regulatory inquiries, and internal reviews by providing evidence of data quality controls and monitoring effectiveness.

Required Qualifications

Experience

7+ years of experience in data quality, data governance, data validation, analytics, or risk/data management roles.

Experience in Insider Risk and/or Financial Crime Risk Management (FCRM) is an asset.

Demonstrated experience in data profiling, designing and executing data quality rules and validation controls across complex data environments.

Proven ability to support models, analytics, and reporting through strong data quality assurance practices.

Technical & Analytical Skills

Must have strong coding experience in at least one of the following: Python, PySpark or SQL.

Experience with Databricks, SSMS and/or reporting/EUC automation is an asset.

Ability to translate business and model requirements into executable data quality rules.

Governance & Communication

Experience operating within enterprise data governance and control frameworks.

Strong written and verbal communication skills, with the ability to explain complex data quality issues to both technical and non‑technical audiences.

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