Sr Product Manager, Elsevier Health Education

Remitly • New York, NY

3d • $104,900 - $209,700 • Remote

About The Position

We are seeking an experienced Analytics Product Manager with deep expertise in data and analytics to lead internal and customer-facing products across our Health Education portfolio. This role is forward-looking, with opportunities to thoughtfully leverage AI to enhance insights and enable new capabilities. The role is central to advancing how institutions understand student engagement, performance, and readiness—turning complex learning data into actionable insights that improve educational outcomes. You will build on a proven foundation of analytics capabilities already delivering value to customers today, while shaping the next generation of learning insights across nursing and medical education products.

Requirements

• Have 3+ years working directly in analytics, data products, or insight-driven platforms.
• Demonstrate hands-on experience applying AI or machine learning concepts in product development (e.g., predictive analytics, personalization, decision support, or intelligent insights).
• Possess superior ability to use data to drive decisions, from discovery through optimization.
• Demonstrate proven success translating customer and business needs into clear requirements for technical teams.
• Have excellent stakeholder communication and storytelling skills, especially when explaining data-driven insights.
• Have excellent project and product management skills, with the ability to manage multiple initiatives effectively.
• Demonstrate experience working in agile environments.

Responsibilities

• Define and execute the customer-facing analytics strategy for health education products, enabling institutions to clearly understand student engagement, performance, and readiness.
• Advance an integrated learning analytics vision, aligning insights across products to support program success, student outcomes, and institutional decision-making.
• Lead end-to-end product lifecycle execution, from discovery and roadmap planning through delivery, launch, and iteration.
• Leverage AI and advanced analytics to identify opportunities for personalization, prediction, and optimization—ensuring features are measurable, impactful, and continuously improved.
• Partner cross-functionally with Product Management, Data Science, Engineering, UX, SMEs, and customer-facing teams to translate customer needs into scalable analytics solutions.
• Develop and leverage internal product analytics to support stakeholders—informing roadmap decisions, feature performance, experimentation, and overall product health.
• Champion agile best practices, maintaining a prioritized, outcome-driven backlog aligned to business and technical goals.
• Operate independently and strategically, using data-driven storytelling to communicate product value and align stakeholders on short- and long-term vision.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed