At Elsevier, our mission is to provide essential insights to advance and protect people, industry, and society. We are seeking a Senior Product Manager I to lead and grow our fraud analytics proposition, acting as a Product Owner in a dynamic team environment.
What You'll Do
- Conduct customer discovery and lead the full product development lifecycle.
- Design and own the product suite strategy by analyzing market, customer, and business insights.
- Make data-driven decisions by analyzing large volumes of data to guide product development.
- Manage the go-to-market and product marketing lifecycle, collaborating with Sales, Marketing, and Customer Support.
What We're Looking For
- A passionate problem solver with Product Management and/or Product Owner experience.
- Essential domain knowledge in fraud prevention, statistical modelling, or AI/machine learning.
- Ability to understand and analyze complex data in association with machine learning and AI algorithms.
- Commitment to delivering high quality, keeping customers at the heart of every product decision.
- Great organisational and prioritisation skills with attention to detail and ability to make decisions under pressure.
- Excellent verbal and written communication skills to connect with a wide range of stakeholders.
Nice to Have
- Understanding of Agile methodologies and frameworks, such as Scrum and Kanban.
Team & Environment
You will work closely with development teams, data science, fellow product managers, and the wider organisation.
Benefits & Compensation
- Eligible for an annual incentive bonus.
- Country specific benefits available.
- U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials apply.
Work Mode
This is a remote position requiring work hours aligned to the Eastern Time (EST) zone.
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.
