Senior Manager, Advanced Analytics/Data Science

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$122,304 - $199,680 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:

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 education and 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 opportunities and serves as an ambassador for data science
• Leads and oversees the design and delivery of enterprise analytic solutions for customers
• Works 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