[Hiring] Director, Data Science & Engineering, Finance @Dropbox

Role Description

This 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 AI-powered capabilities.

You will manage two direct reports: a data scientist and a data engineer. Together, the team supports the financial organization across:

• Recurring business operations
• Driver-model maintenance
• Knowledge coordination
• Analytical insights
• Development and operationalization of AI and machine-learning use cases

The role requires enough technical depth to guide both disciplines, while maintaining a clear focus on business outcomes, reliability, and team growth.

You will partner closely with Finance leadership, Engineering, Data, Product, and other cross-functional stakeholders to establish priorities, improve the quality and accessibility of financial data, and shape a forward-looking roadmap. You will be expected to move the team beyond request-driven execution by:

• Identifying the highest-leverage opportunities
• Clarifying the problems worth solving
• Creating the operating mechanisms needed to deliver durable impact

This is an opportunity to shape how Finance uses data and AI at a time when the underlying technologies, operating models, and expectations are changing quickly. The successful candidate will bring a growth mindset, a strong background in either data science or data engineering, and the ability to lead effectively across both disciplines.

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.

Requirements

• Experience supporting Finance, financial planning and analysis, forecasting, corporate strategy, accounting, or other business functions with high standards for accuracy and control.
• Experience building or scaling AI/ML capabilities, including generative AI, predictive modeling, model evaluation, workflow automation, or AI-assisted decision support.
• Experience managing a hybrid or multidisciplinary team spanning data science, analytics, data engineering, or software engineering.
• Experience building 0-to-1 capabilities, establishing new operating models, or transforming a team from reactive execution to proactive partnership.
• Experience with data governance, observability, model risk management, responsible AI, or other practices that support reliable and auditable business decisions.
• Experience working in a technology company or other complex, data-rich environment.

Benefits

• US Zone 1: This role is not available in Zone 1
• US Zone 2: $228,400 — $309,000 USD
• US Zone 3: $203,000 — $274,600 USD