Finance Data Science & Engineering Director

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

Job summary

Dropbox is seeking a Director, Data Science & Data Engineering for Finance to lead a small, high-impact team that builds trusted data, analytical systems, and AI-powered capabilities forFinance decisions.

You will manage a data scientist and a data engineer, partner with Finance, Engineering, Data, and Product to shape a forward-looking roadmap, and elevate data quality and reliability across the organization.

Qualifications

• Bachelor’s degree or above in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline, or equivalent practical experience.
• Significant experience applying data science, machine learning, analytics, data engineering, or a combination of these disciplines to business problems.
• Experience directly managing and developing technical professionals, ideally including both data scientists and data engineers or closely adjacent roles.
• A strong professional foundation in either data science or data engineering, with demonstrated ability to work effectively across the other discipline.
• Experience leading a portfolio of projects from problem definition through delivery, adoption, measurement, and ongoing operation.
• Experience with data quality, data pipelines, analytical datasets, model development or maintenance, experimentation or evaluation, and production or operational support.
• Demonstrated ability to use data and technology to influence business decisions and deliver measurable impact.
• Strong communication and stakeholder-management skills, including the ability to explain technical concepts, uncertainty, and trade-offs to Finance and executive audiences.
• Demonstrated growth mindset: actively seeks feedback, learns new technologies and domains, adapts to changing conditions, and creates an environment where the team does the same.
• Ability to operate with a high degree of autonomy and ownership in an ambiguous, fast-changing environment.

Responsibilities

• Manage and grow a multidisciplinary team: Lead, coach, and develop a data scientist and a data engineer, creating clear expectations, meaningful development plans, effective delegation, and a strong culture of ownership and continuous improvement.
• Set the team’s strategy and priorities: Translate Finance and company goals into a focused portfolio of work. Prioritize ruthlessly across strategic initiatives, recurring operational responsibilities, model maintenance, knowledge coordination, and technical debt.
• Provide technical leadership across data science and data engineering: Guide problem framing, analytical and modeling approaches, data architecture, pipeline quality, testing, monitoring, documentation, and production readiness.
• Advance AI and modeling capabilities: Identify high-value opportunities to apply AI, machine learning, automation, and analytics to Finance workflows. Establish appropriate standards for experimentation, evaluation, interpretability, human oversight, privacy, and ongoing monitoring.
• Build trusted data foundations: Improve source-of-truth datasets, data quality, lineage, observability, documentation, and reliability. Ensure reporting and downstream analyses are based on accurate data.
• Own analytical and modeling outcomes: Ensure the team develops, maintains, evaluates, and improves models and analyses that support financial planning and decision-making.
• Create scalable operating mechanisms: Establish processes for intake, prioritization, roadmap planning, reviews, incident response, documentation, and stakeholder communication.
• Influence Finance and senior stakeholders: Communicate complex data and modeling considerations clearly to technical and non-technical audiences.
• Partner across functions: Work with Finance leaders, analysts, data scientists, data engineers, software engineers, product partners, and executives.
• Improve the team’s scope and effectiveness: Eliminate low-value work, automate recurring tasks, and advocate for change when needed.

Job description

Dropbox is seeking a Director, Data Science & Data Engineering for Finance to lead a small, high-impact team that builds trusted data, analytical systems, and AI-powered capabilities forFinance decisions.

You will manage a data scientist and a data engineer, partner with Finance, Engineering, Data, and Product to shape a forward-looking roadmap, and elevate data quality and reliability across the organization.