Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Data & Analytics Pay Details: $81,600 - $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 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 Overview The Senior Business Analyst supports enterprise data management initiatives through data literacy, persona management, communications, reporting, and adoption activities. Working closely with business, technology, and governance stakeholders, the role helps drive understanding and adoption of Data Management practices, Data Compass capabilities, and AI-enabled productivity tools. KEY ACCOUNTABILITIES Develop and maintain data literacy, training, and awareness materials for Data Management personas. Support persona lifecycle management, including onboarding, maintenance, reporting, attestations, and organizational hierarchy updates. Create communications, presentations, newsletters, executive updates, and stakeholder engagement materials.



Maintain and update the Enterprise Data Management Office (EDMO) SharePoint hub, redesign when needed and keep material up to date Produce reporting, dashboards, metrics, and insights to support governance forums and leadership decision-making. Leverage Microsoft Copilot, Power BI, SharePoint, Power Platform, and Microsoft 365 tools to improve reporting, automation, and stakeholder experience. Gather business requirements, document processes, identify opportunities for improvement, and support change adoption activities. Act as a liaison between business and technology teams to support enterprise data initiatives. CUSTOMER Analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements. Apply automation and innovation on data platforms and on-going on any current development projects / initiatives aligned to business or organizational strategies Design and implement complex business data information management frameworks to provide a solution that meets business requirements Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs Work closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design / development initiatives are in line with the planned design and standards SHAREHOLDER Work with other various partners/ stakeholders to ensure project success Develop business requirements by researching / analyzing and documenting business data requirements 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 data available from upstream sources and data within various platforms Identify critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs May be responsible to understand and utilize business information management data deliverables 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 analysis 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 Identify and/or define knowledge

📌 Senior Business Analyst, Data Literacy & Persona Management (Toronto)
🏢 TD
📍 Toronto