Sr Product Manager, Elsevier Health Education

Elsevier • Full-time • Remote (Remote from New York, United States of America) • $104,900 - $209,700 / year • 3w ago

Fast Facts

Join Elsevier Health Education as a Sr Product Manager to lead analytics-focused products that enhance student engagement and educational outcomes using AI technologies.

Responsibilities: Define and execute analytics strategies, manage product lifecycle, leverage AI for personalization, and collaborate with teams for scalable analytics solutions.

Skills: Proficiency in analytics and data products, experience with AI/machine learning, strong project management, and communication skills.

Qualifications: 3+ years of experience in analytics with a proven track record of meeting customer needs and experience in agile environments.

Location: Remote position based in New York, USA.

Compensation: $104900 - $209700 / Annually

Fast Facts

Join us as a Sr Product Manager at Elsevier Health Education, where you'll lead analytics-focused products to enhance understanding of student engagement and educational outcomes using advanced data insights and AI technologies.

Responsibilities: You will define and execute analytics strategies, manage the product lifecycle, leverage AI for personalization, and collaborate with cross-functional teams to deliver scalable analytics solutions.

Skills: Proficiency in analytics and data products, experience with AI/machine learning in product development, and strong project management and storytelling capabilities.

Qualifications: 3+ years of experience in analytics fields, with a proven track record in translating customer needs into technical requirements and experience in agile environments.

Location: This is a remote position based in the United States, with a primary location base in New York.

Compensation: $104900 - $209700 / Annually

Sr. Analytics Product Manager

About the Role

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.

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.

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.

Primary Location Base Pay Range: Home based-New York $115,400 - $192,200. If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $123,816 - $197,784.U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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