Product Manager II, Analytics
Elsevier•Indianapolis, NV
•$95,300 - $158,800
About The Position
The Product Manager II will improve analytics experiences for customers and internal teams across the Healthcare Education portfolio. The role owns defined product initiatives from discovery through launch, partnering across functions to turn user needs and data into practical solutions. The position also contributes to the direction of AI-enabled analytics, helping ensure these capabilities are useful, trustworthy, and responsible.
Requirements
- At least 3 years of experience in product management, technology, analytics, data products, or a related field.
- Experience contributing to digital product delivery, from defining requirements through launch and iteration.
- Familiarity with analytics, data products, or AI-enabled products and how they can address user needs.
- Ability to translate complex data or technical concepts into clear product requirements and customer value.
- Strong communication, collaboration, and problem-solving skills.
- Ability to manage priorities and dependencies in an agile environment.
Nice To Haves
- Experience in healthcare, education, healthcare education, or enterprise software.
Responsibilities
- Own analytics features and initiatives from discovery and prioritization through delivery, launch, and iteration.
- Clarify user problems and business goals using customer research, feedback, product data, and input from customer-facing teams.
- Prioritize opportunities based on customer value, business impact, effort, and dependencies.
- Translate needs into clear product requirements, user stories, and acceptance criteria.
- Partner with Product, Engineering, Data Science, UX, subject matter experts, and customer-facing teams to develop and launch solutions.
- Identify ways analytics and AI can simplify workflows, surface insights, and support decision-making.
- Maintain a prioritized backlog and communicate progress, decisions, dependencies, and tradeoffs.
- Track adoption, usability, and customer or business impact, and use results to guide improvements.
- Consider data quality, privacy, transparency, and user trust when working with AI-enabled products.
Benefits
- Annual incentive bonus
- Country-specific benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
