• Own and execute the technical roadmap for data science models and scalable, production-grade data products. • Lead cross-functional initiatives end-to-end—from problem definition through launch—driving clear milestones, accountability, and high quality standards. • Act as a true peer partner to Engineering, Product and Design, aligning on technical strategy, architectural decisions, and long-term roadmaps. • Lead teams responsible for developing, validating, and productionizing models, working closely with Engineering to ensure the right data sources, pipelines, and APIs are in place. • Hire, mentor, and develop top talent while continuously raising the bar through rigorous reviews, coaching, and feedback. • Deeply understand customer pain points and desired outcomes; turn them into clear technical requirements and DS solution designs. • Recommend and translate statistical outputs and data science models into customer-facing features and enterprise solutions. • Establish repeatable validation processes for model release and collaborate with Data Engineering to ensure data quality and robust edge-case handling.