Data Designer II

Work Location

Toronto, Ontario, Canada

37.5

Technology Solutions

$76,800 - $115,200 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  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.

• Provide expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation
• Implement processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
• Develop and maintain knowledge of available data from upstream sources and various platforms
• Identify critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs
• Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
• Perform data profiling using TD tooling and ad hoc system query languages to validate data prototyping solutions
• Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
• Lead the investigation of root causes for data issues and ensure data issues are resolved while developing the prototyping solution
• Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions.
• Adhere to enterprise frameworks or methodologies that relate to data activities for business area
• Ensure business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
• Collaborate with business partners/ stakeholders to ensure project success
• Collaborate on business requirements by researching / analyzing and documenting business data requirements
• Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
• Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
• Keep updated on emerging issues, trends, and evolving regulatory requirements and assess potential impacts
• Promote a culture of risk management and control, supported by effective processes in alignment with risk appetite

• Collaborate with technology and business teams to ensure alignment and guide successful delivery of data solutions.
• Facilitate data analysis and investigations for business users and QA teams, assisting with complex issues and validating business cases during development and testing phases
• Provide oversight on business impact post-implementation, ensuring the data solution meets the intended business outcomes during the warranty period.
• Coordinate business requirements with technical teams with an oversight of ensuring smooth integration of data into source code repositories and promoting effective source code management practices.
• Lead or participate in business and technical design reviews, ensuring that data architectures meet both operational and business objectives.
• Raise and manage change requests in collaboration with business stakeholders, supporting release management processes and ensuring timely delivery.
• Lead initiatives on data governance and data management by ensuring business requirements align with enterprise data governance policies.
• Ensure business metadata and data lineage are well-documented and integrated with enterprise metadata management tools, facilitating better business understanding.
• Adhere to and promote best practices for data security, ensuring both technical and business aspects are protected from common vulnerabilities.
• Document business requirements and technical decisions, ensuring risks, lessons learned, and enhancement opportunities are communicated effectively across teams.
• Safeguard the organization's interests, identifying and managing business risks, while ensuring compliance with internal policies and regulatory guidelines.
• Stay current on industry trends, expanding knowledge of business processes, data tools, and best practices to improve collaboration between business and technology teams.
• Enable cross-functional collaboration, sharing knowledge and best practices between business users and…