Afterpay
Business Intelligence Engineering Manager
Afterpay, San Francisco, California, United States, 94199
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.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 insightsBachelor's degree required, with major in Computer Science, Information Technology, Analytics, or other technical field strongly preferred5+ years of data engineering experience in product/support analytics and business operations2+ years experience in people managementBonus:Experience in leading engineering teams responsible for external data reportingExperience working with Legal & Counsel stakeholders
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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.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 insightsBachelor's degree required, with major in Computer Science, Information Technology, Analytics, or other technical field strongly preferred5+ years of data engineering experience in product/support analytics and business operations2+ years experience in people managementBonus:Experience in leading engineering teams responsible for external data reportingExperience working with Legal & Counsel stakeholders
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