Head of Analytics Engineering, Risk

Block

10d

About The Position

We are looking for a senior leader to join and lead the Analytics Engineering team within Block's Risk Analytics & Data Science team. This group oversees all risk analytics and data science work across Block (including Cash App, Afterpay, and Square). You will be a part of Block's Risk organization and report to Block's Head of Risk Analytics and Data Science, who reports directly to Block's Risk Lead (akin to Chief Risk Officer). You will partner closely with senior product, business, engineering, machine learning, and operations leaders to build a robust and reusable data foundation for Block's Risk Organization. The Risk organization leads with technology and is very data driven; this role will play a large role in strategy, decision making, enhancing risk management capabilities, the deployment of AI initiatives, and supporting the growth of the company.

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.

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.