Senior Applied Science Manager, AWS Analytics Engineering (AAE)
Core
Define multi-year science vision and lead cross-functional teams to build scalable ML products and agentic analytics systems for AWS product leaders and customers.
Role type
Senior Applied Science Manager (Strategy & Leadership)
Builds
Agentic analytics systems, ML-driven product features, decision science frameworks, and big data engineering platforms for AWS.
Domain
Cloud Computing / AI & Machine Learning / Enterprise Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Large-scale ML/AI solution architecture, team leadership and hiring, strategic roadmap definition, cross-functional stakeholder management, experiment design, model evaluation, business-to-science translation
Preferred skills
PhD in CS/ML/AI/Statistics, 5+ years people management, hands-on big data/predictive modeling, agentic system design
Technologies
Graph neural networks, reinforcement learning, causal inference, LLM-based forecasting, multi-agent systems, big data platforms
Responsibilities
Set technical direction for agentic analytics products, architect enterprise-scale ML platforms, partner with senior AWS leaders on strategic initiatives, mentor scientists and engineers, scale novel analytical frameworks, communicate strategic recommendations to executives
Seniority
Senior, hands-on IC with leadership responsibilities
