Senior Manager, Enterprise Data Quality Management

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$115,600 - $163,200 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 Senior Manager, Enterprise Data Quality Management owns and leads Data Content Manager as an enterprise capability across the ServiceNow modules that depend on trusted data. The role is accountable for establishing and operating the governance, controls, processes, and team required to continuously measure and improve data quality, completeness, accuracy, timeliness, consistency, and relationship integrity.

This leader owns the Data Content Manager blueprint framework, deviation-management process, certification cycles, data quality reporting, and control-testing program across the Configuration Management Database, Technology Reference Model, Application Portfolio Management, Hardware Asset Management, Software Asset Management, and other ServiceNow modules brought into scope.

The role partners with ServiceNow platform teams, data and asset owners, technology leaders, risk partners, and control functions to translate business, regulatory, and operational requirements into automated data quality rules and sustainable remediation processes. The Senior Manager ensures that ServiceNow systems of record remain reliable, decision-ready, and audit-ready.

KEY ACCOUNTABILITIES

Enterprise Capability Ownership

• •Own the enterprise strategy, operating model, roadmap, and ongoing operation of Data Content Manager across all in-scope ServiceNow modules.
• •Establish Data Content Manager as the enterprise capability for continuously monitoring, identifying, routing, remediating, and certifying data quality issues.
• •Define the phased expansion of Data Content Manager across the Configuration Management Database, Technology Reference Model, Application Portfolio Management, Hardware Asset Management, Software Asset Management, and other ServiceNow data domains.
• •Serve as the senior business owner for the capability, setting priorities and managing the product backlog in partnership with ServiceNow platform and engineering teams.
• •Ensure the capability is scalable, sustainable, and aligned with Enterprise Technology Asset Management standards, enterprise data governance requirements, and ServiceNow platform strategy.

Data Quality Governance and Blueprint Management

• •Own the enterprise data quality rulebook and the complete inventory of Data Content Manager blueprints.
• •Define standards for blueprint design, approval, testing, deployment, monitoring, amendment, exception, and retirement.
• •Translate business rules, control requirements, data definitions, and regulatory expectations into automated validations that test the correct records, fields, relationships, and conditions.
• •Establish measurable quality thresholds for completeness, accuracy, validity, consistency, timeliness, uniqueness, ownership, lifecycle status, and relationship integrity.
• •Govern changes to blueprint conditions, assignment logic, remediation timelines, and certification requirements through documented change control.
• •Ensure each blueprint has a defined business purpose, accountable owner, authoritative source, remediation path, and evidence trail.
• •Identify and address duplicate, conflicting, obsolete, or ineffective rules across ServiceNow modules.

Continuous Monitoring, Deviation Management, and Certificatio n

• •Operate the end-to-end deviation-management lifecycle, including scheduled scans, task generation, assignment, notification, validation, closure, escalation, and reporting.
• •Establish service levels and escalation paths for overdue, recurring, rejected, or un-routable deviations.
• •Lead periodic field-level certification campaigns across in-scope ServiceNow modules, ensuring that certification responsibilities align with data ownership and segregation-of-duties requirements.
• •Define and operate group certification processes for fields owned by specialist or centralized functions.
• •Ensure proposed data corrections are appropriately validated and implemented through approved workflows.
• •Monitor remediation volumes, aging, recurrence, rejection rates, routing failures, and closure quality to identify systemic issues.
• •Maintain an auditable record of blueprint execution, deviations, approvals, certifications, exceptions, and remediation activity.

Data Quality Assurance and Control Testing

• •Establish and execute a first-line data quality assurance and control-testing program across the Enterprise Technology Asset Management control environment.
• •Design test procedures, select appropriate populations or samples, document results, identify control deficiencies, and report conclusions that can withstand independent challenge.
• •Validate that Data Content Manager rules detect the intended data conditions and that remediation and certification processes operate as designed.
• •Perform root-cause analysis of recurring or material data defects and determine whether corrective action is required in data, process, ownership, integration, discovery, or platform configuration.
• •Track control gaps, management actions, and remediation commitments through closure.
• •Support regulatory examinations, internal audit reviews, risk assessments, and issue-remediation programs with clear, complete, and traceable evidence.
• •Partner with risk, compliance, audit, and governance functions to demonstrate the effectiveness and sustainability of data quality controls.

Metrics, Reporting, and Executive Oversight

• •Own the enterprise data quality measurement framework and reporting cadence across all modules in scope.
• •Define and monitor key performance and risk indicators, including compliance scores, data completeness and accuracy, on-time remediation, aged deviations, recurring defects, unrouteable tasks, certification completion, and control-test results.
• •Produce dashboards, scorecards, and executive reporting that translate technical data quality results into operational, regulatory, and business risk.
• •Identify material trends, concentrations, and emerging risks and recommend prioritized corrective actions.
• •Provide transparent reporting to senior leadership and governance forums, including clear ownership, target dates, dependencies, and escalation requirements.
• •Measure the effectiveness of blueprints and remediation activity, not only the volume of tasks created or closed.

Stakeholder Governance and Accountability

• •Partner with ServiceNow platform teams, module owners, Asset Class and Sub-Class Owners, data owners, technology and business asset owners, architecture, infrastructure, security, risk, and audit.
• •Establish clear decision rights and accountability across data consumers, data owners, and data providers.
• •Facilitate prioritization of cross-domain data quality issues and resolve conflicts involving rule ownership, remediation responsibility, and authoritative data sources.
• •Influence senior stakeholders to address data quality issues where accountability is distributed and direct authority is limited.
• •Promote data quality as a shared enterprise responsibility supported by clear governance, practical workflows, training, and transparent reporting.
• •Represent the Data Content Manager capability in