Own and define end-to-end data and analytics architecture for CoreAI and Foundry platforms, setting long-term technical direction for scalable, reliable, and cost-effective analytics supporting AI workloads. Design, build, and optimize large-scale, robust data pipelines and architectures that support CoreAI's analytics initiatives. Develop and extend scalable ETL/ELT workflows, ensuring reliable ingestion, transformation, and storage of high-volume, high-velocity data from diverse sources. Data Governance & Trust: follow best practices for data quality, lineage, security, and compliance. Collaborate with stakeholders to define trustworthy data sets and implement rigorous data validation protocols, ensuring CoreAI's analytics are both accurate and auditable. Analytics Enablement: Partner with data scientists, analysts, and business leaders to translate business needs into technical solutions. Enable self-service analytics and empower teams by building data models, semantic layers, and tools that streamline access to trusted information. Cross-Functional Collaboration: Work closely with product managers, software engineers, AI researchers, and business stakeholders to align data solutions with business goals. Translate ambitious vision into actionable roadmaps and measurable outcomes. Mentor senior engineers and technical leads, guide complex design decisions, and foster a culture of engineering excellence, operational rigor, and continuous learning across the organization.