Line Of BusinessAnalytics, Insights, & Artificial Intelligence
Work LocationToronto, Ontario, Canada
Hours37.5
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.
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Job DescriptionThe Senior Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices through data science. This role manages the overall data scientist team or function for a key business which may include Modelers and/or Data Scientist roles. This role may also oversee the development of data models, data mining and analytic solutions.
Day To Day
Lead and develop a team of Data Scientists, providing coaching, mentorship, technical guidance, and career development.
Partner with business leaders to identify and prioritize high-value machine learning, artificial intelligence, and advanced analytics opportunities.
Translate complex business problems into analytical frameworks, models, and actionable insights.




Oversee the end-to-end data science lifecycle, including problem formulation, feature engineering, model development, validation, deployment, monitoring, and ongoing optimization.
Guide the development of predictive, prescriptive, and generative AI solutions that improve business performance, efficiency, customer experience, and risk management outcomes.
Collaborate with data engineering, technology, and platform teams to ensure scalable and production-ready solutions.
Establish model governance, validation, explainability, documentation, and monitoring practices in accordance with enterprise risk management standards.
Evaluate emerging AI, machine learning, and data science techniques and recommend practical applications across the organization.
Present analytical findings, recommendations, and business cases to senior executives and stakeholders in a transparent and impactful manner.
Drive experimentation and innovation through proof-of-concepts, pilots, and test-and-learn initiatives.
Ensure responsible and ethical use of AI through adherence to regulatory requirements, governance frameworks, and internal policies.
Manage portfolio planning, resource allocation, and delivery execution across multiple concurrent data science initiatives.
Depth & Scope




Provides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
Oversees and leads a large and/or highly complex and diverse analytical function for an area of significant risk, complexity or scope
Strategic partner to leadership team on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and identifying operational efficiencies and opportunities with other business management/enterprise areas
Facilitates key strategic discussions and provides thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
Sets operational team direction and collaborates with others to execute on common goals
Focuses on longer range planning for functional area (e.G. 12 months or greater)
Education & Experience
Undergraduate degree or advanced technical degree preferred (e.G., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
7+ year of relevant experience;
higher degree educationand research tenure can be counted
Customer Accountabilities
Leads team of Data Scientists and provides day-to-day direction as needed
Acts as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance
Works closely with business owners to identify oppo

📌 Senior Manager, Data Science (Winnipeg)
🏢 TD
📍 Winnipeg