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Head of Data, Square
2 months ago
Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely - and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together. So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we're a partner to sellers of all sizes - large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our seller's scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We're building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
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.
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.
