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For Companies At a Glance
- Tasks: Lead product execution and manage a portfolio of machine learning-driven products.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and innovative business solutions.
- Benefits: Enjoy a diverse workplace with inclusive leadership and opportunities for personal growth.
- Why this job: Be part of a dynamic team driving impactful solutions in fraud prevention and digital identity.
- Qualifications: 5+ years in product management, expertise in Machine Learning, and strong analytical skills required.
- Other info: We value diversity and encourage applications from all backgrounds.
The predicted salary is between 48000 - 72000 £ per year.
Are you an expert in Machine Learning? Will you like to be part of a dynamic global team?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management.
About the Role
As a Senior Product Manager, you will be responsible for managing a portfolio of machine learning driven digital identity and device identification products alongside being a product owner of a team of engineers that directly work on delivering innovative functionality and improving existing features. You will evangelize the value and vision of your areas of focus while promoting a culture of data-driven decision making and risk management with customers and customer-facing teams within our organization. You will be responsible for advancing our industry-leading digital and device identification products by leading product execution, creating product development plans, managing backlogs, and working closely with a cross-functional team developing and maintaining product ideas that solve customer problems.
Responsibilities
- Leading product execution, development plans, and backlog management.
- Working closely with cross-functional teams to develop and maintain product ideas that solve customer problems.
- Identifying opportunities to improve our digital and device identifiers and insights.
- Driving experimentation, optimization, and measuring outcomes using best practices.
- Managing go-to-market strategies, ensuring product features and roadmaps are clearly communicated to all stakeholders.
Requirements
- At least 5+ years of experience in product management in software.
- Expertise in Machine Learning.
- Fraud prevention knowledge preferred but not required.
- Digital identity or device profiling knowledge preferred but not required.
- Analytical skills needed to drive insight from billions of data points using tools such as SQL and Snowflake.
- Demonstrate the ability to solve complex problems with simple solutions.
- Strong communication skills and confidence to act as an evangelist for digital and device identification within the business.
- Track record of communicating complex technical concepts to a non-technical business audience.
- Track record of converting non-technical business requirements into technical design documents.
- Demonstrated ability to manage multiple tasks, projects, and priorities.
- Strong understanding of software development methodologies like Agile Scrum, Kanban, writing user stories, and some background in software development.
- Bachelor's or Master's degree in a technical subject is preferred.
At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form.
Senior ML Product Manager employer: Lexis Nexis
Contact Detail:
Lexis Nexis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and digital identity solutions. This will not only help you understand the products better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of product management and machine learning. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies and how you've successfully managed product backlogs in the past. Be ready to share specific examples that demonstrate your ability to lead cross-functional teams.
✨Tip Number 4
Showcase your analytical skills by discussing how you've used data to drive product decisions. Be prepared to explain how you’ve solved complex problems using simple solutions, as this aligns with the company's focus on data-driven decision making.
We think you need these skills to ace Senior ML Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, particularly in machine learning and software development. Use specific examples that demonstrate your ability to manage products and lead cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it relates to the role. Discuss your understanding of digital identity and device identification, and how your skills align with the responsibilities outlined in the job description.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in product management, especially those involving data-driven decision making and risk management. Highlight any experience you have with Agile methodologies and managing backlogs.
Prepare for Technical Questions: Be ready to discuss complex technical concepts and how you've communicated them to non-technical audiences. Prepare examples of how you've solved problems using analytical skills and tools like SQL or Snowflake.
How to prepare for a job interview at Lexis Nexis
✨Showcase Your Machine Learning Expertise
Be prepared to discuss your experience with machine learning in detail. Highlight specific projects where you've successfully implemented ML solutions, and be ready to explain the impact of these projects on business outcomes.
✨Demonstrate Cross-Functional Collaboration
Since the role involves working closely with cross-functional teams, share examples of how you've effectively collaborated with engineers, designers, and other stakeholders. Emphasise your ability to communicate complex technical concepts to non-technical audiences.
✨Prepare for Product Management Scenarios
Expect scenario-based questions that assess your product management skills. Be ready to discuss how you would manage a product backlog, prioritise features, and handle competing stakeholder demands while ensuring alignment with business goals.
✨Emphasise Data-Driven Decision Making
Highlight your analytical skills and experience with data tools like SQL and Snowflake. Discuss how you've used data to drive insights and inform product decisions, showcasing your ability to solve complex problems with simple solutions.
