Job Description

As the Head of Data you will be responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams and will be the architect of Square’s Data strategy. This role will report to the Head of Engineering & Data.

You will:

• 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.

Qualifications

• 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.

Additional Information

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Full-time employee benefits include the following:

• Healthcare coverage (Medical, Vision and Dental insurance)
• Health Savings Account and Flexible Spending Account
• Retirement Plans including company match
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
• Paid parental and caregiving leave
• Paid time off (including 12 paid holidays)
• Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
• Learning and Development resources
• Paid Life insurance, AD&D, and disability benefits

These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our ** _ I+D page_** ** .**

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate.