Business Intelligence Engineering Manager

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers.
Job Description
The Third Party Response Analytics team at Cash App plays a critical role in building high-trust relationships between Cash and the external parties we work with, such as partners, regulators, and others. Our north star is empowering relationship owners within Cash to self-service the vast majority of these requests quickly and accurately through the automated tooling and reporting developed by our team. We are seeking an experienced Business Intelligence Engineering Manager to help us continue growing the impact of this high-performing team.
Your team will be highly visible, partnering directly with a variety of stakeholders at all levels across Cash App to identify and implement opportunities for automating the data supply chain and enhancing reliability. You will play a pivotal role in managing cross-functional relationships, guiding the design and development of innovative solutions, and ensuring the seamless integration of data processes. As a leader, you will be accountable for growing and developing your team, fostering a culture of continuous improvement and excellence.
The ideal candidate will possess a passion for innovation and automation, coupled with a proven ability to build, engage, and retain a team of highly talented engineers. You should have prior experience leading a team of Business Intelligence Engineers and be comfortable diving into projects as a hands-on contributor when necessary. Strong interpersonal skills are essential, as you will regularly interact with stakeholders and senior management, ensuring alignment and driving impactful outcomes.
You Will:

• Drive Vision: Proactively drive the vision for Business Intelligence Engineering across a product or business vertical, and define and execute a strategic plan to achieve that vision.
• Develop Self-Service Tools: Create and maintain a collection of high-leverage "Supported Self-Service" dashboards and visualizations for core stakeholders, enabling efficient data access and insights.
• Ensure Operational Excellence: Define and implement operational excellence processes for Business Intelligence Engineering, including project management and system reliability.
• Build a High-Impact Team: Recruit, develop, and scale a high-impact Business Intelligence Engineering team, fostering a culture of innovation and excellence.
• Strategic Partnership: Collaborate with multiple internal teams, including Product, Legal, Compliance, Data Science, and Customer Operations, to identify and implement data-driven solutions.
• Manage Projects: Oversee individual projects by coordinating directly with the company's internal data teams, ensuring timely and effective delivery.
• Develop and Empower: Focused development of the broader team's skills and capabilities, enabling them to scale effectively and sustainably.

Qualifications

• Advanced SQL: schema and ETL design, query optimization, data pipeline maintenance, data visualization platforms (e.g. Tableau, Looker, Mode)
• Familiarity with scripting/programming for data mining, modeling, and ETL development (Python preferred)
• Ability to proactively define the long-term vision and strategy that will offer the correct data to support our external data requests, unlocking key data visibility and insights
• Bachelor's degree required, with major in Computer Science, Information Technology, Analytics, or other technical field strongly preferred
• 5+ years of data engineering experience in product/support analytics and business operations
• 2+ years experience in people management

Bonus:

• Experience in leading engineering teams responsible for external data reporting
• Experience working with Legal & Counsel stakeholders

Qualifications

• Advanced SQL: schema and ETL design, query optimization, data pipeline maintenance, data visualization platforms (e.g. Tableau, Looker, Mode)
• Familiarity with scripting/programming for data mining, modeling, and ETL development (Python preferred)
• Ability to proactively define the long-term vision and strategy that will offer the correct data to support our external data requests, unlocking key data visibility and insights
• Bachelor's degree required, with major in Computer Science, Information Technology, Analytics, or other technical field strongly preferred
• 5+ years of data engineering experience in product/support analytics and business operations
• 2+ years experience in people management

Bonus:

• Experience in leading engineering teams responsible for external data reporting
• Experience working with Legal & Counsel stakeholders