Line Of Business Analytics, Insights, & Artificial Intelligence

Work Location Toronto, Ontario, Canada

Hours 37.5

Line Of Business Analytics, Insights, & Artificial Intelligence

Pay Details $96,900 - $136,800 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 The 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 mentor a team of Data Scientists, providing technical guidance, coaching, performance feedback, and career development support.

Partner with business stakeholders to identify, prioritize, and deliver machine learning, AI, and advanced analytics use cases.

Translate business requirements into analytical frameworks,



machine learning models, and actionable recommendations.

Develop, test, and deploy predictive, prescriptive, and generative AI solutions to address business challenges.

Oversee model development activities including feature engineering, algorithm selection, model training, validation, and performance monitoring.

Work closely with data engineers and technology teams to ensure scalable, production-ready solutions.

Conduct exploratory data analysis and communicate findings to both technical and non-technical audiences.

Support proof-of-concepts, pilot programs, and experimentation initiatives to evaluate recent AI and machine learning capabilities.

Ensure model governance, documentation, validation, and monitoring requirements are met in accordance with enterprise standards.

Evaluate emerging data science techniques, AI technologies, and industry trends and recommend practical applications.

Present insights, findings, and recommendations to management and business partners.

Contribute to establishing best practices, reusable frameworks, and standards across the data science function.

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

Leads and manages a sizeable team of Data Science professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope

Ensures an integrated approach with other business management areas, broader organization, and enterprise as appropriate

Deep knowledge and understanding of businesses/technology, and organizational practices/disciplines

Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business

Focuses on short to medium-term issues (e.g. 6-12 months)

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;

5+ year of relevant experience; higher degree education and research tenure can be counted

Customer Accountabilities

Leads team of Data Scientists and provide 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 opportunities and serves as an ambassador for data science

Leads and oversees the design and delivery of enterprise analytic solutions for customers

Work in a highly interactive, team-oriented environment with Big Data developers, and analytical experts

Collaborates with business partners to shape and prioritize ad hoc analysis

Shareholder Accountabilities

Provides analytical thought leadership and stays current on developments in data minin

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