Work Location:Toronto, Ontario, CanadaHours:37.5Line of Business:Analytics, Insights, & Artificial IntelligencePay Details:$96,900 - $136,800 CADTD 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:This is a unique opportunity to help shape the future of Business Intelligence within Wealth by driving transformation initiatives, modernizing analytics capabilities, advancing AI-enabled solutions, and influencing how data-driven decision making is delivered across the organization.1. Drive BI Transformation Strategy & ExecutionDrive BI Transformation initiatives across Wealth.Help shape and evolve BI operating models, delivery processes, governance frameworks, and best practices.Identify opportunities to improve how analytics and reporting capabilities are developed, governed, and consumed across Wealth.Contribute to BI Transformation roadmap development aligned with business priorities and enterprise direction.2. Modernize Wealth BI CapabilitiesSupport the migration and modernization of analytical assets and reporting capabilities, including Power BI migration and transformation initiatives.Partner with other colleagues on data modernization efforts, including Unity Catalog migration and related platform capabilities.Promote scalable,



reusable, and sustainable BI development practices.Help shape, refine, and drive adoption of visualization standards, semantic modeling best practices, governance, documentation, and BI solutions design.Leverage metrics, stakeholder feedback, and operational insights to continuously improve BI capabilities and user experience.3. Drive BI Innovation Through AI and Emerging TechnologiesExplore opportunities to leverage artificial intelligence, Generative AI, Agentic AI, and modern analytics technologies to improve BI development, adoption, governance, and user experience.Evaluate emerging industry trends and recommend practical applications for Wealth BI. Deep expertise in SQL, Python, PySpark, and up-to-date analytics frameworks.Advanced proficiency in Power BI, data visualization design, semantic modeling, and dashboard optimization.Prototype and champion innovative approaches that improve business value and team effectiveness.Foster a culture of experimentation, continuous learning, and technology adoption.4. Leadership Through InfluenceBuild strong relationships with business leaders, technology teams, and analytics partners.Influence decisions through data-driven recommendations, structured problem-solving, and effective communication.Mentor peers and team members through knowledge sharing, technical guidance,



and best-practice development.Help create alignment and strategic direction during periods of change and ambiguity.Lead initiatives and drive outcomes without formal authority by building credibility, trust, and stakeholder alignment.The ideal candidate will:Thrive in ambiguity and changing environments.Demonstrate strong ownership and initiative by proactively identifying opportunities and driving outcomes.Balance strategic thinking with hands-on execution.Be comfortable leading without formal authority.Have a passion for modernization, transformation, and innovation.Be naturally curious about AI and emerging technologies.Influence stakeholders through credibility, communication, and expertise.Continuously learn and adapt in a rapidly changing technology landscape.Technical RequirementsRequiredBachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative discipline.7+ years of experience in Business Intelligence, Analytics, Data Science, Data & AI, or a related field.Experience leading complex analytics, BI, modernization, or transformation initiatives from strategy through execution.Solid proficiency in SQL, Python, and modern analytics platforms such as Databricks.Advanced experience with Power BI, semantic modeling, data visualization design, and self-service BI enablement.Experience with BI modernization efforts, including migration, governance, operating model evolution, or platform transformation initiatives.Strong understanding of data modeling, metadata management, data governance, and analytics best practices.PreferredExperience applying AI, Generative AI, Agentic AI, or ML capabilities to improve analytics and BI workflows.Experience with cloud-based analytics platforms and large-scale enterprise data environments.Financial Services, Wealth Management, or Banking experience.Who We Are:TD is one of the world's leading global financial institutions and is the fifth largest

📌 Data Scientist Iii (Toronto)
🏢 TD
📍 Toronto