Principal Product Manager, Analytics

Principal Product Manager, Analytics

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Elsevier

At a Glance

  • Tasks: Lead the transformation of analytics delivery through AI for healthcare education.
  • Company: Elsevier, a global leader in information analytics for science and healthcare.
  • Benefits: Competitive salary, annual bonus, and country-specific benefits for your well-being.
  • Other info: Join a diverse team committed to social progress and human well-being.
  • Why this job: Make a real impact by shaping AI-driven solutions that enhance decision-making in healthcare.
  • Qualifications: 5+ years in product management with a focus on AI and analytics.

The predicted salary is between 72000 - 88000 £ per year.

  • Principal Product Manager, Analytics
  • Our Company

Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity.

We serve the research, academic and clinical communities through the application of technology and analytics to content.

In this way, we empower those communities to contribute to social progress, to enhance human well-being and to share and expand the breadth of human knowledge.

About the Role

We are seeking a Principal Product Manager to lead the transformation of how we deliver analytics to internal and external customers through AI.

This collaborative, forward-thinking leader will guide product discovery, strategy, and execution, translating emerging technologies and customer insights into practical, actionable solutions that improve decision-making and outcomes across our Healthcare Education portfolio.

Responsibilities

  • Define the vision and roadmap for AI-enabled analytics across nursing and medical education products.
  • Identify opportunities to use AI to simplify analytics, surface insights, improve decision support, and enable more personalized experiences.
  • Lead end-to-end product development, from discovery and prioritization through delivery, launch, and iteration.
  • Translate customer and business needs into clear product strategies, requirements, and experiences.
  • Partner with Product, Engineering, Data Science, UX, subject matter experts, and customer-facing teams to deliver scalable solutions.
  • Lead cross-functional alignment by communicating product strategy, priorities, decisions, and tradeoffs.
  • Establish measures of success, including adoption, usability, customer impact, and business outcomes.
  • Use customer feedback, product data, and analytics to inform prioritization and continuously improve products.
  • Champion responsible and practical use of AI, including attention to quality, privacy, transparency, and trust.
  • Maintain a prioritized, outcome-driven backlog and support agile planning and delivery.
  • Have 5+ years of experience in product management, technology products, data products, analytics, or a related field.
  • Demonstrate strong product leadership and the ability to influence and align cross-functional teams.
  • Have experience delivering AI-, analytics-, data-, or insight-driven products.
  • Possess a practical understanding of AI, analytics, experimentation, and data products.
  • Demonstrate the ability to translate complex data concepts into clear product strategies and meaningful customer value.
  • Have excellent communication, stakeholder management, and storytelling skills.
  • Demonstrate strong product and project management skills, including the ability to manage multiple priorities in an agile environment.
  • Experience in healthcare, education, healthcare education, or enterprise software is preferred.

U. S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.

If performed in Illinois, the base pay range is $124,200 - $230,800.

If performed in Maryland, the base pay range is $124,200 - $230,800.

If performed in New York, the base pay range is $130,200 - $241,800.

If performed in New York City, the base pay range is $142,000 - $263,800.

If performed in Rochester, NY, the base pay range is $118,300 - $219,800.

If performed in New Jersey, the base pay range is $149,765 - $239,235.

This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

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 or please contact 1-855-833-5120.

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.

USA Job Seekers: EEO Know Your Rights.

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Principal Product Manager, Analytics employer: Elsevier

At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.

Elsevier

Contact Details:

Elsevier Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Product Manager, Analytics

Join Product Management Meetups

Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Elsevier!

Show Off Your Product Sense

Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Elsevier would be by your initiative!

Utilise Online Communities

Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.

Leverage Your University Network

If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Elsevier through your school's career services!

We think you need these skills to ace Principal Product Manager, Analytics

Product Management
AI Integration
Analytics Development
Data Strategy
Cross-Functional Collaboration
Stakeholder Management
Agile Methodologies

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Principal Product Manager, Analytics, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!

Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!

Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.

Tailor Your CV to the Role:Make sure your CV is tailored for the Principal Product Manager, Analytics position at Elsevier. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!

How to prepare for a job interview at Elsevier

Understand the Product Life Cycle

As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.

Showcase Your Cross-Functional Skills

Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.

Prepare for Case Studies

In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.

Know Your Metrics

Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.