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Pay Details:

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:

Role Details:

Reporting to Director & Senior Manager – in the TDS Data Management Office, Manager– Data Management will be responsible for supporting the implementation of data management and related Data Retention & Disposition activities for TD Securities.

Job Accountabilities:

• Provide subject-matter expertise and execute Data Retention and Disposition activities, including defining and maintaining retention requirements (aligned to Enterprise Data Policy/Standards), mapping data sets to retention schedules, enabling retention metadata (e.g., classification, record category, retention period, disposition trigger), supporting legal hold processes, and coordinating disposition workflows (defensible deletion/archiving) with Technology, Risk, Legal/Compliance, and Records Management.
• Data Governance & Standards Adherence: Ensures compliance with EDMO Standards by establishing and monitoring effective data governance processes.
• Maintain knowledge of data management practices and procedures within modern data platforms and keep abreast of emerging trends within the functional area.
• Help drive automation of data management practices, including metadata, data lineage, authoritative sources, data usage, and data quality rules.
• Advise and consult on projects related to implementation of data management practices during system development (e.g., data impact analysis, quality controls, and data lineage).
• Oversight of Data Management Processes: Governs end0to0end data management practices to ensure data is accurate, complete, timely, and aligned to enterprise requirements.
• Conduct internal and external research projects and support the development and delivery of presentations and communications to management and broader audiences.
• Data Risk & Control Management: Provides independent oversight, challenge, and escalation of data risks and control deficiencies to ensure effective risk mitigation.
• Coordinate relevant processes, meetings, and events that impact the TDS Data Management practices.
• Understand department objectives and contribute by recommending appropriate action to management based on analysis and review of results within assigned scope.
• Issue Management & Remediation Oversight: Oversees identification, escalation, and remediation of data issues, ensuring timely resolution and validation before closure.
• Monitor service and productivity, assess efficiency levels within the function, and implement continuous process and performance improvements where opportunities exist.
• Monitoring, Metrics & Reporting: Tracks, assesses, and reports on data governance performance and control effectiveness to support oversight and regulatory transparency.
• Acquire and apply expertise in the discipline, and provide guidance, assistance, and direction to others.
• Adhere to internal policies and procedures and applicable regulatory guidelines.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements, and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Consistently exercise discretion in managing correspondence, information, and all matters of confidentiality, and escalate issues where appropriate.

Education/Accreditations:

• University or post-graduate degree; professional data management designation would be considered an asset.
• 10+ years of relevant experience in Data Management, Data Retention & Disposition, and Data Lifecycle Management.

Other Qualifications/Skills/Experience:

• Solid knowledge of implementing and leading data governance and data management practices, Enterprise Data Policy, Standards, and Strategy.
• Solid knowledge of Capital Markets data strategy, data risk management, and data life cycle management
• Knowledge of current and emerging competitors and market trends in Data Management
• Skill in using analytical software tools, data analysis methods and reporting techniques
• Ability to communicate effectively in both oral and written form
• Ability to work collaboratively and build relationships
• Ability to work successfully as a member of a team and independently
• Ability to exercise sound judgement in making decisions
• Ability to analyze, organize and prioritize work while meeting multiple deadlines
• Ability to handle confidential information with discretion

Language Requirement (Quebec only):