Data Science and AI Platform Vice President, Dropbox

• Advanced degree in Computer Science, AI, or related field with 12+ years of data science and/or AI/ML experience in software companies, including 6+ years managing high-performance teams
• Proven track record of driving business impact through data science initiatives across different company scales, from startups to large enterprises
• Comprehensive expertise in both predictive and generative AI technologies, including statistical modeling, machine learning algorithms, data visualization, and their practical business applications
• Experience with large-scale data and ML systems and cloud platforms, combined with strong understanding of responsible AI practices and current industry trends

Desirable

• We are a rapidly evolving, technology-driven company dedicated to harnessing the power of AI and data science to revolutionize industries and deliver a more enlightened way to work
• We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of the business, building intelligent solutions that drive growth and create meaningful impact
• The Head of Data Science and AI Platform will provide visionary leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business outcomes
• This role involves balancing innovation in both predictive modeling and generative AI applications, while building and scaling high-performing teams, driving operational excellence, and translating complex data into actionable insights that fuel product innovation and business growth
• Define and execute enterprise AI strategies aligned with business goals, while owning delivery of business strategy and measurable impact through direct collaboration with executive teams
• Identify high-value AI opportunities that drive competitive advantage, representing the organization's AI vision through strategic partnerships and industry presence
• Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to responsible AI guidelines
• Drive AI-powered product innovation from ideation to production, partnering with data engineering to build robust infrastructure that supports both traditional and emerging AI applications
• Build and lead high-performing, diverse teams of data scientists and engineers across multiple locations, recruiting and developing top talent in a remote/virtual-first environment
• Foster a culture of excellence that embodies agency, growth mindset, and continuous learning, with clear career development paths aligned with both company objectives and personal growth
• Optimize end-to-end AI operations with bias toward action and high-quality execution, incorporating best practices for data management, model deployment, and monitoring
• Implement rigorous validation protocols and standards while making swift data-driven decisions to deliver impactful outcomes
• Collaborate with product, engineering, data, marketing, and operations teams to identify opportunities for data-driven solutions, translating complex insights into clear, actionable recommendations for all stakeholders
• Promote a data-first culture throughout the organization while demonstrating customer obsession, operating effectively across complex organizational structure