• Lead consistent 1-on-1s with direct reports focused on growth, wellbeing, and performance • Manage the full performance cycle — goal setting, ongoing feedback, and formal reviews • Mentor and develop data scientists and engineers of varying skill levels • Foster a collaborative, high-trust team environment where innovation thrives • Monitor team engagement, taking proactive steps to address issues • Drive team growth through strategic hiring and onboarding • Guide the development and delivery of machine learning models, analytical pipelines, and AI-powered solutions • Partner with engineering and product teams to align on priorities and ensure smooth execution • Promote best practices in data science — model quality, reproducibility, documentation, and responsible AI • Translate complex data science outputs into clear, actionable insights for stakeholders • Communicate across all levels — from individual contributors to senior leadership — with clarity and confidence • Align data science efforts with broader business and client objectives • Represent and advocate for your team's work, capacity, and needs