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D

Director, Data Science & Engineering, Finance

Dropbox · USA · Just now · 0 applicants
NewRemoteFull-timeManager
Pay
$228k–$309kListed
Workplace
Remote
Job type
Full-time
Level
Manager
Team: Data Science & Engineering, Finance · Source: builtin · Posted by joined-scrapper

About the role

Dropbox seeks a Director to lead a small multidisciplinary data science and data engineering team supporting Finance, combining technical leadership across analytics, data infrastructure, and AI/ML with close partnership with Finance leadership. The role focuses on building trusted data foundations, advancing AI capabilities, and creating scalable operating mechanisms to deliver measurable business impact.

What you’ll do

  • Manage and grow a multidisciplinary data science and data engineering team
  • Set the team’s strategy and priorities aligned with Finance and company goals
  • Provide technical leadership across data science, data engineering, and AI/ML
  • Advance AI and modeling capabilities for Finance workflows
  • Build trusted data foundations with quality, lineage, and reliability
  • Create scalable operating mechanisms and communicate insights to senior stakeholders

What you’ll need

  • Bachelor’s degree or equivalent practical experience in a quantitative discipline
  • Significant experience applying data science, ML, analytics, and data engineering to business problems
  • Experience directly managing technical professionals, ideally data scientists and data engineers
  • Strong professional foundation in data science or data engineering with cross-discipline ability
  • Experience leading projects from problem definition through delivery and operation
  • Strong communication and stakeholder-management skills for Finance and executive audiences

Original job description

Role DescriptionThis is a critical leadership role at the intersection of data science, data engineering, finance, and AI. As Director, Data Science & Data Engineering for Finance, you will lead a small, high-impact team that enables Finance to make better decisions through trusted data, robust analytical systems, applied modeling, and increasingly…

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