Teams at Sovrn

Lead and execute high-impact AI/ML initiatives: prototype and deploy agentic AI, build predictive models and experiments to optimize ad performance and monetization, analyze large datasets, improve pipelines and experimentation frameworks, evangelize modeling best practices, mentor data scientists, and communicate findings to technical and non-technical stakeholders.

Lead design and evolution of scalable, distributed systems across Sovrn's product ecosystem. Define architectural standards, SLOs/SLAs, and best practices for performance, security, and compliance. Leverage automation and AI tooling, mentor engineers, influence cross-functional technical strategy, and ensure systems are maintainable, secure, and performant at scale.

Lead design and implementation of data platform architecture and pipelines (ELT) using Spark/Databricks and AWS. Ensure governance, metric consistency, security, and performance of business-critical datasets. Troubleshoot and optimize data processing, enable analytics access, define table/metric standards, and mentor engineers to deliver reliable data services.