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Head of Data


Posted on 6/27/2024



10,001+ employees

Economic empowerment through inclusive technology

Social Impact
Financial Services
Consumer Goods


Oakland, CA, USA + 1 more

Data Management
Data Science
Data Engineering
Data & Analytics
Required Skills
Data Science
Data Analysis
  • 15+ years relevant experience in data related fields: Data Analytics, Data Engineering, and/or Machine Learning; 10+ years of experience managing scaled data teams.
  • Demonstrated experience in leading data-focused teams, with a proven track record of developing talent and building high-performing data organizations.
  • Extensive experience in leading data teams (data science, analytics, and data engineering) with a solid foundation in deploying advanced data strategies in corporate settings.
  • Proven ability to build influential relationships and drive data-centric decision-making across product and functional teams.
  • Adept at leading cross-disciplinary projects, showcasing an ability to foster collaboration and drive outcomes across various business units.
  • Deep understanding of data architecture principles and best practices, with a strategic mindset towards building scalable data ecosystems.
  • Proficiency in a range of data technologies and tools (such as SQL, Looker, and Python) with a focus on developing the technical acumen of the team in these areas.
  • Experience in applying a spectrum of data science methodologies to address real-world business problems, from statistical analysis to machine learning, enhancing product value and customer experience.
  • Ability to clearly and effectively communicate the value of data to leadership and all levels of the organization.
  • Excellent communication skills and can articulate a strategy in a concise manner to ensure stakeholders feel included, informed, and aligned on expectations.
  • Drive the strategic direction and technical roadmap for Square’s data platform, ensuring scalability, reliability, and precision in data handling.
  • Oversee the GTM Data, Data Science & Analytics, Data Engineering, and Machine Learning functions, ensuring they align with Square’s strategic objectives.
  • Establish core principles for data governance at Square, setting standards for data access, accuracy, and timeliness across all data-centric teams.
  • Cultivate a culture of agility, transparency, and continuous enhancement, driving product innovation and operational excellence.
  • Deliver impactful insights to cross-functional partners, informing decisions and driving business performance.
  • Ensure customer-focused data practices within your teams, aligning data engineering and analytics efforts with customer needs and experiences.
  • Attract, develop, and maintain a top-tier data team, scaling capabilities to meet Square’s evolving data demands.

Block is a company deeply invested in economic empowerment through its innovative use of technology across multiple disciplines, including financial forecasting, system security, and inclusive People policies. This multifaceted approach not only fosters an inclusive workplace but also promotes continual learning and growth among its employees, making it a leader in nurturing and implementing new initiatives in its industry.

Company Stage


Total Funding



Oakland, California



Growth & Insights

6 month growth


1 year growth


2 year growth