• Define and align technical strategies for multi-year, multi-team initiatives with broader company goals. • Own technology decisions for large-scale architectures, including frameworks and build-versus-buy choices for key components. • Design systems with high reliability, scalability, and long-term maintainability, incorporating staged validation plans where necessary. • Ensure engineering quality through regular health reviews, curated testing strategies, and technical documentation that supports maintainability independent of your expertise. • Drive overall testing strategies for systems requiring high reliability or quality, including creating validation frameworks or systems. • Design platforms with long-term maintainability and embedded ML components, ensuring anomaly detection and NLP features were both scalable and production-ready. • Collaborate with machine learning engineers to design, validate, and deploy ML-based anomaly detection systems, ensuring performance met system SLAs. • Employ systems-level mindset to integrate ML in production environments. • Partner with Directors, product managers, and design leadership to ensure alignment on technical strategy and business objectives. • Collaborate with stakeholders to identify and deliver new business opportunities enabled by technical capabilities. • Influence product decisions, scope, and technical trade-offs to prioritize customer value without compromising quality. • Drive technical choices that have sweeping implications across the engineering organization, rallying teams around clear rationales and technical visions. • Proactively identify and refocus engineering efforts when projects are off-course or not driving meaningful business impact. • Partner with senior leadership to define a long-term vision for engineering teams that aligns with business and market opportunities. • Serve as a mentor and technical guide for engineers at all levels, fostering a culture of learning and growth. • Champion engineering excellence by setting high standards for system design, coding, testing, and operational practices.