Finance Data Science & Engineering Director - Remote

Wwshemi; United States; Remote; USD 228,000 - 309,000; Full time

Job summary

Dropbox is seeking a Director, Data Science & Engineering for Finance. You will lead a small team delivering trusted data, analytical systems, and AI-powered capabilities to enhance financial decision-making.

In this role you will guide data scientists and data engineers, partner with Finance and cross-functional teams, and shape a roadmap that prioritizes business results, reliability, and scalable operating models. Remote role in the US.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent experience.
• Significant experience applying data science, analytics, or data engineering to business problems.
• Experience managing technical professionals (data scientists and data engineers).
• Strong ability to lead portfolio from problem to delivery and operation.
• Experience with data quality, pipelines, and production analytics.

Responsibilities

• Lead and grow a multidisciplinary team: mentor a data scientist and a data engineer.
• Set strategy and priorities aligned to Finance and company goals.
• Provide technical leadership across data science and data engineering.
• Advance AI and modeling capabilities within Finance workflows.
• Build trusted data foundations with governance and observability.
• Own outcomes and tie analyses to measurable business impact.
• Create scalable operating mechanisms and reduce hero dependence.
• Influence senior stakeholders with clear communication of risks and trade-offs.
• Partner with Finance, data, product, and executives to align priorities.

Skills

Data science

Data engineering

Leadership

People management

AI/ML

Education

Bachelor’s degree or higher

Job description

Dropbox is seeking a Director, Data Science & Engineering for Finance. You will lead a small team delivering trusted data, analytical systems, and AI-powered capabilities to enhance financial decision-making.

In this role you will guide data scientists and data engineers, partner with Finance and cross-functional teams, and shape a roadmap that prioritizes business results, reliability, and scalable operating models. Remote role in the US.