• Develop and own the roadmap for Socure’s AI/ML platform, including data and feature engineering workflows, training infrastructure, experimentation tooling, model deployment/serving, monitoring, and governance. • Define architecture and standards that create clear, scalable, and secure paths for building and operating AI systems. • Assess technology options and drive consolidation across the company to reduce fragmentation and improve consistency across the ML toolchain. • Partner with Data Science, Engineering, Product, and Sales-Enablement teams to develop AI infrastructure that delights Customers. • Lead the design and operation of the end-to-end ML lifecycle: data ingestion, feature engineering, experimentation, training, model registry, deployment, and continuous monitoring. • Guide the team to deliver high-quality platform capabilities with predictable timelines and strong technical rigor. • Implement and enforce best practices around model versioning, auditability, lineage tracking, data governance, and security controls. • Lead, mentor, and grow both senior and junior ICs across ML infrastructure, MLOps, and distributed systems.