At a Glance
- Tasks: Scale AI-driven products and ensure they deliver real value for clients.
- Company: Join a leading marketing services team at Experian, known for innovation.
- Benefits: Enjoy hybrid working, competitive pay, bonuses, and great health benefits.
- Other info: Dynamic role with excellent growth opportunities in a collaborative environment.
- Why this job: Be at the forefront of AI and data, making a tangible impact.
- Qualifications: Experience in product management and cross-functional teamwork is essential.
The predicted salary is between 50000 - 60000 € per year.
We are looking for a Product Manager to join our UKI Marketing Services team, reporting into the product director. You will help scale AI-enabled, data-driven products across our portfolio. This is an exciting opportunity to work at the intersection of AI and data, where you will help launch products and ensure they deliver value for clients. You'll focus on translating strategy into execution, embedding AI capabilities into products, and driving adoption, performance, and continuous improvement.
You'll be part of a collaborative Product Pod, working closely with engineering, data, design, and go-to-market teams to create high-quality, scalable solutions. This is a hybrid, Nottingham-based role (40% in office) reporting to the Product Director for Experian Marketing Services.
What you'll do:
- Deliver and scale AI-enabled products. Support the delivery and continuous improvement of data and AI-powered products, ensuring they meet client needs and drive measurable outcomes.
- Translate strategy into actionable roadmaps. Own and evolve product roadmaps in consideration of broader AI and data strategy, ensuring clear priorities and outcomes within your product scope.
- Embed AI capabilities into products. Work with data and AI teams to integrate reusable AI capabilities into products, accelerating innovation and consistency across the portfolio.
- Improve product performance and optimisation. Monitor product performance, identify opportunities for improvement, and iterate to increase adoption, client value and commercial impact.
- Collaborate across cross-functional teams. Partner closely with Product Owners, engineers, data scientists and GTM teams to ensure delivery.
- Understand users and market context. Build understanding of client needs, user journeys and market trends to inform product enhancements and prioritisation.
- Support go-to-market execution. Work with commercial and marketing teams to position products clearly, ensure they understand them well, launch and promote their adoption.
- Maintain product quality and compliance. Ensure you follow product lifecycle processes, documentation and governance requirements consistently.
Qualifications:
- Experience in product management within a data-driven environment.
- Experience delivering products or features end-to-end, from concept through to launch and optimisation.
- Experience working in cross-functional teams (e.g. engineering, data, design, and commercial).
- Product management experience in marketing services or data products.
- Degree or equivalent practical experience in a relevant field (e.g. business, technology, data and marketing).
Additional Information:
- Benefits package includes hybrid working - 40% office based.
- Great compensation package and discretionary bonus plan.
- Core benefits include pension, Bupa healthcare, sharesave scheme and more!
- 25 days annual leave.
Product Manager in London employer: Experian Health
At Experian, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Product Manager in our Nottingham office, you'll enjoy a hybrid working model, competitive compensation, and a comprehensive benefits package, including healthcare and a sharesave scheme. We are committed to your professional growth, providing opportunities to work at the forefront of AI and data-driven products while ensuring you have the support and resources needed to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their AI and data strategies, and think about how your experience aligns with their goals. This will help you stand out as a candidate who truly gets what they’re about.
✨Tip Number 3
Showcase your skills through real-life examples. When discussing your experience, focus on specific projects where you delivered data-driven results. This will demonstrate your ability to translate strategy into execution, just like they need in a Product Manager.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Product Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Product Manager role. Highlight your experience in product management, especially in data-driven environments, and showcase any relevant projects that demonstrate your ability to deliver AI-enabled products.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the intersection of AI and data. Share specific examples of how you've translated strategy into execution in previous roles, and don’t forget to mention your collaborative spirit!
Showcase Your Cross-Functional Experience:We love seeing candidates who can work across teams! In your application, emphasise your experience collaborating with engineers, data scientists, and marketing teams. This will show us you’re ready to jump into our Product Pod and hit the ground running.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Experian Health
✨Know Your Product Inside Out
Before the interview, make sure you thoroughly understand the products the company offers, especially those that are AI-enabled and data-driven. Familiarise yourself with their features, benefits, and how they meet client needs. This will help you demonstrate your passion and knowledge during the conversation.
✨Showcase Your Cross-Functional Experience
Since the role involves collaborating with various teams, be ready to share specific examples of how you've successfully worked with engineers, data scientists, and marketing teams in the past. Highlight your ability to translate strategy into actionable roadmaps and how you’ve driven product performance through teamwork.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to product management. Think about how you would approach embedding AI capabilities into products or improving product performance. Practising these scenarios can help you articulate your thought process clearly.
✨Understand Market Trends and User Needs
Research current trends in AI and data products, as well as the specific market context of the company. Be prepared to discuss how you would gather user insights and apply them to enhance product offerings. This shows that you’re not just focused on the product but also on the users and the market landscape.
