Product Manager

Experian

📍Nottingham, England, UK
Posted May 25, 2026

Job Overview

Position

Product Manager

Company

Experian

Location

Nottingham, England, UK

Work Type

On-site

Job ID

li-4400622123

Job Description

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Internal Grade EB8/D
Job Description
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) role 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)

  • You will have 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 with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How do you approach integrating reusable AI capabilities into an existing data-driven product portfolio to ensure consistency and accelerate innovation?
  • 2.Walk me through how you translate a high-level data and AI strategy into an actionable, prioritized product roadmap.
  • 3.What key performance metrics would you monitor for an AI-enabled marketing services product, and how would you use that data to drive optimization?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you delivered a data-driven product or feature from concept through to launch and optimization.
  • 2.Describe a situation where you had to collaborate closely with engineering, data science, and commercial teams to ensure a product's successful delivery.
  • 3.Give me an example of when you had to ensure product quality and compliance while under pressure to launch quickly.
🧩Situational Questions (2)
  • 1.You've just launched an AI-enabled marketing data product, but early adoption is lower than expected and clients are not realizing its full value. What do you do?
  • 2.Your Product Director asks you to add a highly requested new AI feature to the roadmap, but the data science team warns that the necessary data infrastructure won't be ready for months. How do you handle this?

Resume Keywords

Make sure these keywords appear on your resume

AI-enabled productsData-drivenProduct RoadmapCross-functionalGo-to-marketProduct LifecycleMarketing ServicesProduct OptimizationAdoptionData Products

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