Head of Data Science & AI

TD Bank

Charlotte (NC)

On-site

USD 96,000 - 144,000

Full time

4 days ago
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Job summary

TD Bank in Charlotte, NC seeks a Manager, Data Science to lead a team of data professionals and drive analytics, ML, and AI initiatives that inform business decisions. You will mentor staff, partner with stakeholders to identify use cases, translate requirements into analytical frameworks, and oversee model development, governance, and deployment across the enterprise.

This role collaborates with data engineers and technology teams to deliver production-ready solutions and advance the bank's

Qualifications

  • Leads team of data scientists and provides day-to-day direction.
  • Partners with business stakeholders to identify use cases.
  • Translates business requirements into analytical frameworks and models.
  • Develops, tests, and deploys predictive, prescriptive, and generative AI solutions.
  • Oversees model development, governance, validation and monitoring.

Responsibilities

  • Lead and mentor a team of Data Scientists, providing technical guidance and career development.
  • Collaborate with business stakeholders to prioritize analytics use cases.
  • Translate requirements into scalable analytical frameworks and models.
  • Develop and deploy AI/ML solutions to address business challenges.
  • Ensure governance, documentation, and monitoring of models.
  • Coordinate with data engineers and technology teams for production-ready solutions.

Skills

Team leadership
Data science
Machine learning
Stakeholder management
Requirements translation
Communication

Education

Undergraduate or advanced technical degree (math/physics/engineering/finance/CS)
Graduate degree preferred

Job description

TD Bank in Charlotte, NC seeks a Manager, Data Science to lead a team of data professionals and drive analytics, ML, and AI initiatives that inform business decisions. You will mentor staff, partner with stakeholders to identify use cases, translate requirements into analytical frameworks, and oversee model development, governance, and deployment across the enterprise.

This role collaborates with data engineers and technology teams to deliver production-ready solutions and advance the bank's

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