Elsevier Inc. is hiring a Senior Product Manager, Data and Analytics to play a critical role in shaping and executing the analytics strategy across our Clinical Solutions portfolio. You will lead the development of customer-facing and internal analytics capabilities that drive clinical, product, and operational impact.
What You'll Do
- Own the vision, prioritization, and delivery of analytics capabilities—including dashboards, KPIs, and embedded insights—across multiple Clinical Solutions products.
- Deeply understand user needs in clinical and operational settings to develop analytics products that solve real-world challenges for health systems.
- Convert strategic goals into actionable plans for analytics delivery, collaborating closely with Technology, Informatics, and Analytics teams.
- Identify opportunities to apply generative AI to accelerate insight delivery, improve data exploration, and enhance the usability of analytics tools for healthcare professionals.
- Define and track product OKRs and KPIs; ensure analytics initiatives drive measurable business and customer outcomes.
- Partner on data integration, modeling, and governance efforts to ensure analytics are built on high-quality, reliable data.
- Collaborate with commercial, sales, marketing, and customer success teams to bring analytics products to market, enable adoption, and communicate impact.
- Represent analytics product priorities internally and externally, aligning stakeholders and contributing to strategic planning across the portfolio.
- Monitor industry trends, emerging technologies, and regulatory changes to ensure our analytics capabilities remain innovative, compliant, and competitive.
What We're Looking For
- 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 (FHIR, HL7, SNOMED, LOINC) and analytics tools/platforms.
- Strong cross-functional leadership and stakeholder management skills.
- Bachelor’s degree required.
Nice to Have
- Experience applying AI/ML or GAI in a product or analytics context is a strong plus.
- Advanced degree in informatics, public health, or data science preferred.
- Clinical background a plus.
Team & Environment
You will work in a matrixed organization.
Benefits & Compensation
- Comprehensive, multi-carrier program for medical, dental and vision benefits
- 401(k) with match and an Employee Share Purchase Plan
- Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
- Flexible working arrangements
- Numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals
Work Mode
This is a fully remote position open to candidates anywhere in the U.S.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
