Head of Analytics Engineering, Risk

Block is a company built from many blocks, united by the purpose of economic empowerment. They are seeking a senior leader to lead the Analytics Engineering team within their Risk Analytics & Data Science team, overseeing risk analytics and data science work across Block and enhancing risk management capabilities.

Responsibilities:

• Lead and scale the Analytics Engineering team within Block's Risk organization, setting clear vision, culture, and execution standards
• Own the roadmap, vision, and delivery for the data platform, internal data products, and analytics infrastructure that power risk decisioning across Block
• Oversee the development of data models, metrics frameworks, semantic layers, and data governance standards, ensuring consistency and trust in key business and product metrics
• Drive the design and implementation of end-to-end data pipelines, from ingestion to transformation to serving layers, in partnership with software engineering and ML/AI teams
• Establish and refine data-product practices, including user research, product requirement definition, roadmap prioritization, documentation, and feedback loops with internal stakeholders
• Ensure the data platform supports advanced analytics, experimentation, and ML/AI workloads, enabling teams to build, measure, and iterate quickly
• Champion data reliability, observability, and operational excellence, including SLAs, incident response processes, and ongoing quality initiatives
• Build and manage a high-performing leadership bench across data engineering, analytics engineering, and data product management, developing future leaders and supporting career growth at every level
• Influence company-wide decision-making by advocating for data literacy, promoting best practices, and ensuring the organization makes high-quality, data-driven decisions

Requirements:

• 10+ years of experience in data engineering, analytics engineering, data product management, or related technical disciplines
• 5+ years of experience managing technical teams, including experience developing leaders and managing managers
• A demonstrated track record of building and scaling data platforms, analytical systems, and internal data products at high-growth tech companies
• Deep expertise in modern data architectures, including lakehouse patterns, real-time/streaming systems, orchestration, warehouse modeling, semantic layers, data quality, and governance
• A strong record of partnering with product, engineering, and business stakeholders to define and deliver impactful internal data products
• Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders and executives
• Proven experience applying data-driven approaches to solve complex risk challenges, ideally in domains such as fraud, credit, compliance, or financial risk
• Intellectual curiosity, a collaborative mindset, and a passion for Block's mission of economic empowerment