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- Tasks: Shape data-driven decisions and deliver impactful data products at ASOS.
- Company: Join ASOS, a leading fashion retailer with a focus on innovation.
- Benefits: Enjoy employee discounts, 25 days leave, private medical care, and more.
- Other info: Dynamic role with opportunities for personal growth and development.
- Why this job: Make a real impact by embedding data into everyday decision-making.
- Qualifications: Experience in data product management and strong collaboration skills required.
The predicted salary is between 60000 - 75000 ÂŁ per year.
As a Data Product Manager at ASOS, you’ll play a key role in shaping how data powers decisions across the business. Working closely with Engineering Leads and cross‑functional teams, you’ll set the vision, strategy and roadmap for data products that unlock meaningful insights and real business impact. You’ll focus on solving high‑value problems and delivering scalable, intuitive data solutions that enable teams to move faster, make better decisions and innovate with confidence. Your work will help embed data at the heart of how ASOS operates. You’ll define the “why” and “what” of our data products, partnering with engineering to shape the “how” and “when”. Through collaboration and clear product thinking, you’ll deliver tools and platforms that make data more accessible, actionable and impactful across the organisation.
Why This Role Matters
Data is central to ASOS’s ambition to be a truly data‑led business. In this role, you’ll help build the foundations that enable teams to confidently use data in everyday decision‑making. You’ll play a critical part in developing scalable, well‑governed and user‑friendly data products that unlock insight across the business. By enabling data ownership and improving accessibility, you’ll help teams move from intuition to evidence‑led decisions. This is a high‑impact role where your work will directly influence how ASOS innovates, operates and grows in a fast‑moving, competitive space.
Qualifications About You
- You bring experience in data product management and have worked across data platforms, core datasets or analytics products.
- You’re comfortable working with data systems and have a good understanding of analytics, data modelling and governance principles.
- You enjoy collaborating with both technical and non‑technical teams, translating complex ideas into clear, valuable outcomes.
- You’ve worked in agile environments and are confident shaping roadmaps, prioritising effectively and delivering iteratively.
- You communicate clearly and confidently, adapting your style to different audiences and bringing stakeholders with you.
- You’re motivated by solving meaningful problems and focus on delivering outcomes that genuinely add value.
- You enjoy supporting and developing others, and create an environment where people can do their best work.
- You’re comfortable navigating complexity, balancing multiple priorities and driving progress in evolving environments.
- You’re naturally curious and enjoy exploring new ideas, approaches and technologies to improve how things work.
Benefits
- Employee discount (hello ASOS discount!)
- Employee sample sales
- 25 days paid annual leave + an extra celebration day for a special moment
- Private medical care scheme
- Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
- Opportunity for personalised learning and in‑the‑moment experiences that enable you to thrive and excel in your role.
Product Manager - Data employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager - Data
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ASOS. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or a case study that highlights your experience in data product management. This is your chance to demonstrate how you can solve high-value problems and deliver impactful solutions.
✨Tip Number 3
Prepare for the interview by understanding ASOS’s data strategy. Familiarise yourself with their products and think about how you can contribute to making data more accessible and actionable across the organisation.
✨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 the ASOS team.
We think you need these skills to ace Product Manager - Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Product Manager. Highlight your experience with data platforms and analytics products, and don’t forget to showcase your ability to collaborate with both technical and non-technical teams.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how your skills align with our mission at ASOS. Be sure to mention specific examples of how you've solved meaningful problems in the past.
Showcase Your Communication Skills: Since this role involves working with various stakeholders, make sure your application reflects your clear and confident communication style. Use straightforward language and avoid jargon to demonstrate your ability to translate complex ideas into valuable outcomes.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the ASOS team!
How to prepare for a job interview at ASOS.com
✨Know Your Data Inside Out
As a Product Manager - Data, it's crucial to have a solid grasp of data systems and analytics. Brush up on your knowledge of data modelling and governance principles before the interview. Be ready to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Collaboration Skills
This role involves working closely with both technical and non-technical teams. Prepare examples that highlight your ability to translate complex data concepts into clear, actionable insights. Think about times when you successfully brought stakeholders together to achieve a common goal.
✨Demonstrate Agile Mindset
Since the job requires experience in agile environments, be prepared to talk about how you've shaped roadmaps and prioritised tasks effectively. Share specific instances where you delivered iteratively and adapted to changing requirements, showcasing your flexibility and problem-solving skills.
✨Communicate with Confidence
Effective communication is key in this role. Practice articulating your thoughts clearly and confidently, tailoring your style to different audiences. Consider doing mock interviews with friends or colleagues to refine your delivery and ensure you can engage your interviewers.