Manager, Data Science (US)

Work Location: Charlotte, North Carolina, United States of America Hours: 40 Pay Details: $96,130 - $144,190 USD 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: Analytics, Insights, & Artificial Intelligence 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 a