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- Tasks: Lead the vision for AI content ingestion and enhance data quality for impactful AI applications.
- Company: Global leader in information and analytics, advancing science and healthcare.
- Benefits: Generous holiday allowance, health benefits, learning resources, and employee discounts.
- Other info: Join a dynamic team with extensive career growth opportunities and a commitment to diversity.
- Why this job: Shape the future of AI and search technology while making a real-world impact.
- Qualifications: Experience in data platforms, strong communication skills, and ability to balance stakeholder needs.
The predicted salary is between 60000 - 80000 ÂŁ per year.
About the Team
We build Search and AI platform capabilities that power search, AI‑assisted discovery, and recommendation experiences across Elsevier’s product portfolio. Our work supports researchers, clinicians, and innovators worldwide find, understand, and use knowledge from Elsevier’s content by transforming complex information into connected, searchable and actionable knowledge. This role sits within the AI content group, which ensures content from Elsevier’s Data Platform is made available in a clean and enriched form for use in Search and AI use cases. The team plays a critical role in enabling other teams to build impactful AI and search‑driven products by providing reliable, high‑quality content at scale.
About the Role
As Product Manager for the AI Content group, you will help shape how content is ingested, structured, and prepared to ensure it can be effectively and responsibly used in downstream Search and AI applications. Beyond processing raw content, you will ensure content is enriched by relevant signals such as semantic structure, rights, provenance or other trust signals. You will own the roadmap for content ingestion and work closely with engineering to build reliable and scalable data ingestion platform capabilities and with data owners to improve content quality, discoverability, and reuse across Elsevier’s product portfolio.
Responsibilities
- Articulate the vision and set the roadmap for AI content group aligned with shared Search & AI platform OKRs
- Work closely with engineering leadership to evolve and deliver scalable ingestion workflows, balancing flexibility with long‑term maintainability
- Own AI content ingestion initiatives end‑to‑end, translating internal product needs into clear data and engineering requirements and supporting delivery
- Balance input from multiple stakeholders and make clear, practical trade‑offs using data to guide prioritisation and product roadmap decisions
- Partner with upstream and downstream teams to define and align on data quality, contracts, and service expectations, making sure content meets the need of downstream Search and AI use cases
- Drive insights on the content catalogue to improve discoverability and adoption: what exists, how it is used, what are reuse opportunities
Requirements
- Experience working on data platform or data‑intensive environments serving multiple stakeholders or clients, and collaborating with engineers and data scientists
- Understanding of how content flows through data system; familiarity with data or processing technologies such as Airflow, Spark, EMR or similar tools
- Understanding of how data supports AI, search, or recommendation use cases and how to assess and improve data quality
- Ability to work across multiple teams, balancing competing internal stakeholder needs, and make thoughtful data‑informed prioritisation decisions
- Strong communication skills, and ability to communicate clearly with a range of technical and non‑technical stakeholders
Benefits
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress.
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Sr Product Mgr I- AI Platform employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Product Mgr I- AI Platform
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand how they use AI and data, and think about how you can contribute to their goals. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful – you want to leave them wanting to know more about you.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Sr Product Mgr I- AI Platform
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data platforms and AI. We want to see how your skills align with our mission of transforming complex information into actionable knowledge.
Showcase Your Communication Skills: Since you'll be working with both technical and non-technical teams, it's crucial to demonstrate your ability to communicate clearly. Use examples in your application that show how you've successfully navigated these conversations in the past.
Highlight Relevant Experience: Focus on your experience in data-intensive environments and any familiarity with tools like Airflow or Spark. We love seeing candidates who can bring practical insights from their previous roles to the table.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at RELX
✨Know Your AI Content Inside Out
Before the interview, dive deep into the specifics of AI content ingestion and how it relates to search and recommendation systems. Familiarise yourself with the technologies mentioned in the job description, like Airflow and Spark, so you can confidently discuss how they fit into the role.
✨Showcase Your Stakeholder Management Skills
Be prepared to share examples of how you've balanced competing needs from multiple stakeholders in previous roles. Highlight your ability to make data-informed prioritisation decisions and how that has positively impacted project outcomes.
✨Communicate Clearly and Effectively
Practice articulating complex ideas in a way that’s easy for both technical and non-technical audiences to understand. This will be crucial as you'll need to collaborate with various teams, so demonstrating strong communication skills during the interview is key.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about the team’s current challenges or future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values and work style.