About the company
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams ā People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more ā provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Summary
You Will
šShape Block's ERM tech vision and roadmap, aligning with our engineering-driven culture šGuide technology innovation in risk management through AI integration and open-source development šShape and govern the platform roadmap, intake process, and enhancement prioritization to ensure continued relevance and value šLead the architectural design of our GRC tech stack, focusing on user experience and scalability šDefine and maintain our risk tech ecosystem, including API strategies and data architecture šEstablish design principles and data architecture standards that guide system development šIntegrate ERM tooling into daily workflows through Goose, embedding risk decision support where work happens šTranslate ERM frameworks into intuitive system behaviors and workflows šAdvance risk intelligence by integrating RCSAs, risk posture, and KRI frameworks into live monitoring and insight-driven dashboards šRepresent ERM platform capabilities to internal and external stakeholders, including regulators and auditors šDrive platform adoption through clear communication and demonstrated value
You Have
š8+ years of experience leading risk technology strategy and architecture, with deep expertise in GRC platforms, risk data architecture, and enterprise risk systems šTrack record of leading tech modernization initiatives and architectural transformations šDeep understanding of modern data infrastructure, including APIs, data lakes, and embedded analytics šHands-on experience with platform governance, system configuration and data quality standards šA product and platform mindset focused on usability, scalability, and continuous improvement.
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