Work Location:

Hours:

Pay Details:

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.

Line of Business:

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 new 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 mining and the application of data science
• Manages workload of data science team; assigning data request to staff based on skills and development needs
• Supports execution with excellence on key initiatives/programs
• Designs effective test and learns for various programs or scenarios
• Develops business specific plans; ensures work and resources are aligned to support objectives
• Identifies opportunities for business growth within a specific business or function by identifying potential use cases and value drivers
• Proactively supports the identification of issues, trends and opportunities, and brings forward recommendations based on judgment and facts
• Leads team to prepare framework to succinctly take complex data and translate it into clear and concise recommendations
• Ensures deep understanding and contributes to the achievement of the business strategy, goals, and objectives
• Ensures team adheres to enterprise frameworks and methodologies related to overall business management activities
• Leads relationships with corporate and/or control functions to ensure alignment with enterprise and/or regulatory requirements
• Supports team in staying knowledgeable on emerging issues, trends and evolving regulatory requirements and assesses potential impacts to the Bank
• Assesses/identifies key issues and escalates to appropriate levels and relevant stakeholders and business management where required
• Identifies, mitigates and reports on risk issues per enterprise policy/guidance and ensures appropriate escalation processes are followed
• Ensures business operations are in compliance with applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
• Leads relationships with business lines / corporate and/or control functions to ensure alignment with enterprise and/or regulatory requirements
• Leads or contributes to cross-functional/enterprise initiatives as an organizational or subject matter expert helping to identify risk/provide guidance for complex situations
• Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk transactions/activities as necessary
• Manages oversight process, risk-based identification and monitoring of related risks and regulatory compliance across the supported functions, while ensuring key controls and processes are effectively managed
• Oversees or leads the facilitation and/or implementation of action/remediation plans to address performance/risk/governance issues
• Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
• Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

• Cultivates and models the Colleague Promise to support colleague growth, and a culture of care; makes an impact at work and in our communities by leading with authenticity and supporting well-being to represent TD's brand
• Connects the alignment of colleague's contributions with the TD Shared Commitments 
• Builds and retains an engaged and diverse team where every colleague and customer are valued, respected, and listened to; committed to a common goal and collaborates to move with speed and get things done
• Demonstrates inclusive leadership by taking meaningful action with intention to support colleagues and customers across all dimensions of diversity, including those from underrepresented communities, being actively anti-racist, attracting and retaining diverse slate of candidates, nurturing mutual respect, inclusivity of thought and collaboration to drive successful results
• Recruits, identifies strong talent and develops a diverse talent pipeline of qualified workforce to innovate and maximize individual strengths to lead to a better business outcome
• Enables colleague growth by encouraging colleague development to achieve career and business objectives, ensuring timely motivating appreciation and recognition to all colleagues
• Enables a continuous learning culture by proactively seeking, listening to and actioning feedback from peers and from colleague listening opportunities to continuously improve the colleague experience and grow your personal leadership
• Models sharing of knowledge, information, skills, and subject matter expertise among the team; ensures timely management and escalation of issues, and leads collaboration with other functions and teams
• Leads team through change and creates an environment where teams feel psychologically safe to challenge current practices by modeling resiliency and flexibility, providing direction on changing priorities and empowering colleagues to drive innovation
• Enables a high-performance culture by setting team targets and objectives, facilitating on-going and proactive feedback/coaching and conducting Quarterly Check-Ins for all colleagues to drive accountability and business results
• Manages employees in compliance with all human resources policies, procedures and guidelines of conduct

Preferred Qualifications:

• "Big Tech" experience strongly preferred
• Master's degree in data science , PhD in data science, Computer Science, Statistics, Mathematics, Machine Learning, Artificial Intelligence, Engineering, Physics, or a related quantitative field.
• 5+ years of experience applying machine learning, artificial intelligence, advanced analytics, or statistical modeling techniques in a business environment.
• 2+ years of experience leading projects, mentoring junior team members, or providing technical leadership.
• Advanced proficiency in Python and modern data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, XGBoost).
• Demonstrated experience developing and implementing predictive models and advanced analytics solutions that drive business outcomes
• Experience building and deploying machine learning models in production environments.
• Experience developing Generative AI, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), Agentic AI, or Natural Language Processing (NLP) solutions.
• Strong understanding of machine learning techniques including classification, regression, clustering, forecasting, anomaly detection, recommendation systems, and optimization.
• Experience with MLOps practices including model deployment, monitoring, version control, and lifecycle management.
• Knowledge of model governance, explainability, fairness, and responsible AI principles.
• Experience working with cloud-based analytics platforms such as Azure, AWS, or Google Cloud.
• Ability to communicate complex analytical concepts and model outcomes to both technical and business audiences.
• Experience in big tech companies and industries.

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

• Domestic Travel – Occasional
• International Travel – Never
• Performing sedentary work – Continuous
• Performing multiple tasks – Continuous
• Operating standard office equipment - Continuous
• Responding quickly to sounds – Occasional
• Sitting – Continuous
• Standing – Occasional
• Walking – Occasional
• Moving safely in confined spaces – Occasional
• Lifting/Carrying (under 25 lbs.) – Occasional
• Lifting/Carrying (over 25 lbs.) – Never
• Squatting – Occasional
• Bending – Occasional
• Kneeling – Never
• Crawling – Never
• Climbing – Never
• Reaching overhead – Never
• Reaching forward – Occasional
• Pushing – Never
• Pulling – Never
• Twisting – Never
• Concentrating for long periods of time – Continuous
• Applying common sense to deal with problems involving standardized situations – Continuous
• Reading, writing and comprehending instructions – Continuous
• Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

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