At a Glance
- Tasks: Own and shape the data platform, enhancing data exchange across brands and partners.
- Company: Join a leading consumer loyalty brand with a focus on innovation.
- Benefits: Competitive salary up to £125,000 plus bonus and opportunities for professional growth.
- Other info: Be part of a dynamic team that values speed, flexibility, and creativity.
- Why this job: Make a real impact on data strategy and personalization in a fast-paced environment.
- Qualifications: Experience in data product management and a strong engineering background.
The predicted salary is between 69750 - 85250 £ per year.
We’re partnering with a well-known consumer loyalty business on a key Data Product Manager – Data Platform & Exchange hire, sitting in the central data product team. This is a high-impact role focused on owning the data platform and shaping how data is exchanged across a wider ecosystem of brands, partners, and external data providers. This is not a delivery-style product role. They want someone with a genuine product mindset, strong engineering credibility, and the confidence to operate in a fast-moving, ambiguous environment. The role will play a key part in shaping the business’s data enrichment strategy and how data is shared and used to unlock better personalization and future platform capability.
What you’ll be doing as the Data Product Manager:
- Owning the data platform and developer experience for internal engineering teams
- Leading thinking around data exchange across group businesses, loyalty partners, and external ecosystem partners
- Working closely with engineers to shape how the platform evolves, with the confidence to challenge and influence technical decisions
- Helping define the organisation’s approach to data enrichment, sharing, and cross-business data use cases
- Operating as a true product leader in an environment that values speed, flexibility, and comfort with ambiguity
Requirements for the Data Product Manager:
- Strong experience in data product management, ideally with ownership of a data platform
- A background in engineering, or experience working very close to engineering
- Experience with data sharing / exchange concepts such as clean rooms, federated exchange, data marketplaces, or Delta Sharing
Why is this Data Product Manager role a great opportunity?
- High-impact platform role with ownership across both data platform and data exchange
- Opportunity to shape how data works across a major consumer and partner ecosystem
- Genuine product role — focused on strategy, trade-offs, and business value, not just delivery
- Chance to influence a business investing heavily in its data product capability
Product Data Manager in London employer: Burns Sheehan
Burns Sheehan offers an exceptional work environment in Oxford, where innovation meets collaboration. As a Platform Engineer, you will not only tackle unique engineering challenges but also benefit from a culture that prioritises employee growth and development. With access to cutting-edge technology and a commitment to making a visible impact in the robotics field, this role provides a rewarding opportunity for those looking to thrive in a high-growth technology landscape.
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We think this is how you could land Product Data Manager in London
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We think you need these skills to ace Product Data Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Burns Sheehan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Burns Sheehan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Burns Sheehan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Burns Sheehan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
