• Define and execute Aya’s enterprise architecture vision and roadmap, ensuring tight alignment with business goals and long-term growth strategies. • Partner with senior leadership to guide technology investments that enhance agility, resilience, and digital innovation. • Integrate architecture disciplines across data, AI/ML, application, integration, and infrastructure domains into a cohesive enterprise ecosystem. • Design and evolve Aya’s enterprise data and AI architecture, including data mesh, governance, analytics, and MLOps frameworks. • Collaborate with Data Science and Engineering teams to build scalable, production-grade AI/ML platforms that enable model deployment, monitoring, and continuous optimization. • Be a champion for responsible AI principles, ensuring transparency, fairness, and regulatory compliance. • Evaluate and adopt emerging technologies such as large language models, vector databases, generative AI, and semantic retrieval to maintain a competitive advantage. • Build, mentor, and scale a world-class enterprise architecture team across multiple domains and geographies. • Define clear success metrics, growth paths, and frameworks to attract, develop, and retain top talent. • Foster a culture of innovation, collaboration, and accountability that empowers architects to drive measurable business value. • Partner closely with product, engineering, and data leaders to translate architectural strategy into execution and outcomes. • Establish and enforce architecture standards, design patterns, and review processes to ensure consistency, scalability, and compliance. • Balance innovation with operational excellence, enabling calculated risk-taking while maintaining architectural integrity. • Continuously monitor technology and industry trends to evolve Aya’s enterprise technology stack and ensure future readiness.