Sr Product Manager, Elsevier Health Education at Elsevier

The ideal candidate has at least three years of experience managing analytics platforms or data-heavy products and a working knowledge of how to apply AI and machine learning to predictive insights. You should have a background in translating complex student or institutional data into actionable dashboards and performance metrics. **What makes it worth a look...** The compensation is quite competitive with a structured breakdown by city and clear eligibility for an annual bonus. It is a rare chance to work at the intersection of health education and AI, building products that directly impact how medical and nursing students prepare for their careers. **You might be a good fit if you...** * Have hands-on experience shipping features that use predictive analytics or intelligent decision support. * Are comfortable using data-driven storytelling to align stakeholders on a long-term technical vision. * Enjoy working in an agile environment alongside data scientists and engineers. * Can navigate the complexities of HIPAA or similar data privacy standards in an educational setting.