Full-Time
Head of Data
Square
Posted on 6/27/2024
Square
10,001+ employees
Payment and POS solutions for businesses
Expert
Oakland, CA, USA
- 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.
Square provides payment and point-of-sale (POS) solutions designed for businesses of all sizes, particularly small to medium-sized enterprises (SMEs) like retail stores, restaurants, and online merchants. Its main product is a POS system that includes hardware such as card readers and terminals, along with software that allows businesses to accept various payment methods, including credit cards, debit cards, and mobile payments. Square also offers additional services like invoicing, payroll management, and business analytics, making it a comprehensive tool for managing business operations. What sets Square apart from its competitors is its user-friendly interface and transparent fee structure, which charges a small fee for each transaction processed. This simplicity appeals to small business owners who value predictable costs. The goal of Square is to empower SMEs by providing them with the tools they need to manage sales and customer relationships effectively.
Company Stage
IPO
Total Funding
$601.2M
Headquarters
San Francisco, California
Founded
2009
6 month growth
↑ 0%1 year growth
↓ -1%2 year growth
↑ 5%
Simplify's Take
What believers are saying
- Square's expansion into new markets, such as offering Tap to Pay in France, indicates strong growth potential and international reach.
- The company's investment in Bitcoin and blockchain technology positions it at the forefront of financial innovation, potentially leading to significant long-term gains.
- Square's extensive ecosystem of third-party integrations, particularly in the food and beverage sector, enhances its value proposition and operational efficiency for businesses.
What critics are saying
- The highly competitive fintech market requires Square to continuously innovate to maintain its market position and avoid being outpaced by rivals.
- Square's significant investment in Bitcoin introduces volatility and financial risk, which could impact its overall financial stability.
What makes Square unique
- Square's user-friendly hardware and software solutions, including its flagship POS system, set it apart in the fintech market by offering a seamless and comprehensive business management experience.
- The company's transparent transaction-based revenue model appeals to small business owners who prefer predictable costs, unlike competitors with more complex fee structures.
- Square's strategic focus on integrating advanced technologies like machine learning and Bitcoin into its ecosystem demonstrates its commitment to innovation and staying ahead of market trends.