Senior Product Manager, Analytics & Insights

RELX•Philadelphia, PA

2d•$118,300 - $219,800

About The Position

The Senior Product Manager will shape and execute the analytics strategy across Elsevier’s Clinical Solutions portfolio. The role leads the development of customer-facing and internal analytics capabilities that provide clinicians, pharmacists, and healthcare leaders with actionable insights. Working across a matrixed organization, the Senior Product Manager translates strategic priorities into a focused analytics product roadmap and delivers solutions that improve decision-making and create customer value. The position includes ownership of analytics product vision, prioritization, and delivery across multiple products, including dashboards, KPIs, and embedded insights. It also involves understanding clinical and operational user needs, coordinating with Technology, Informatics, and Analytics teams, identifying appropriate generative AI opportunities, defining and tracking product outcomes, and partnering on data quality, integration, modeling, and governance. The role supports commercialization and adoption with commercial, sales, marketing, and customer success teams; represents analytics priorities to stakeholders; and monitors industry trends, technologies, and regulatory changes. Elsevier is a global information and analytics company serving researchers and healthcare professionals. The role offers flexible working hours. The stated U.S. national base pay range is $118,300–$219,800, with geographic differentials potentially applicable; the position is eligible for an annual incentive bonus. For specified Ireland locations, the stated base pay range is €71,700–€119,500. Location-specific benefits are available, and the company describes wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.

Requirements

7–10 years of experience in product management, analytics, informatics, or healthcare technology.
Proven success delivering data or analytics products, ideally in clinical or health system contexts.
Familiarity with healthcare data standards such as FHIR, HL7, SNOMED, and LOINC, and with analytics tools or platforms.
Strong cross-functional leadership and stakeholder management skills.
Bachelor’s degree required.

Nice To Haves

Experience applying AI/ML or generative AI in a product or analytics context.
Advanced degree in informatics, public health, or data science.
Clinical background.

Responsibilities

Own the vision, prioritization, and delivery of analytics capabilities—including dashboards, KPIs, and embedded insights—across multiple Clinical Solutions products.
Understand user needs in clinical and operational settings and develop analytics products that address real-world challenges for health systems.
Translate strategic goals into actionable analytics delivery plans in collaboration with Technology, Informatics, and Analytics teams.
Identify opportunities to use generative AI to accelerate insight delivery, improve data exploration, and enhance analytics tool usability for healthcare professionals.
Define and track product OKRs and KPIs, ensuring analytics initiatives deliver measurable business and customer outcomes.
Partner on data integration, modeling, and governance to ensure analytics are based on high-quality, reliable data.
Collaborate with commercial, sales, marketing, and customer success teams to launch analytics products, enable adoption, and communicate impact.
Represent analytics product priorities internally and externally, align stakeholders, and contribute to strategic portfolio planning.
Monitor industry trends, emerging technologies, and regulatory changes to keep analytics capabilities innovative, compliant, and competitive.