At a Glance
- Tasks: Lead the future of a modern Master Data Management platform and drive data adoption.
- Company: Join a people-first, growing tech business that values collaboration and innovation.
- Benefits: Supportive environment with opportunities to learn and influence the business.
- Other info: Collaborative culture where your ideas are encouraged and valued.
- Why this job: Make a visible impact by shaping how trusted data drives decisions.
- Qualifications: Experience with MDM platforms and a passion for data governance.
The predicted salary is between 60000 - 75000 £ per year.
We're looking for a hands‑on Platform Owner to lead the future of a modern Master Data Management platform.
You'll shape the roadmap, drive adoption, and make sure trusted, connected data powers better decisions across the business.
You'll work with data, technology, and business teams to improve how core data is governed, integrated, and used from customer and product data to vendor, sales, and employee domains.
- What you’ll do
- Own and evolve the MDM platform strategy, roadmap, and delivery priorities.
- Lead platform improvements, integrations, upgrades, and operational excellence.
- Partner with stakeholders to turn data needs into practical, high-value solutions.
- Champion trusted master data, strong governance, and confident user adoption.
- What you’ll bring
- Experience with enterprise MDM platforms and modern data integration tools.
- Strong knowledge of data matching, merging, survivorship, hierarchy management, and golden records.
- A confident, collaborative approach to technical leadership and stakeholder engagement.
- A passion for making data easier to trust, access, and use.
You'll be joining a people‑first, growing technology business where ideas are encouraged, collaboration matters, and your work will have a visible impact.
It's a supportive environment with plenty of opportunity to learn, influence, and help shape how trusted data drives the business forward.
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Platform Owner - Leeds employer: Xpertise Recruitment
At Xpertise Recruitment, we pride ourselves on being an exceptional employer, particularly for those passionate about making a difference in the medical technology field. Our Bristol location fosters a collaborative work culture where innovation thrives, and employees are encouraged to grow through mentorship and personal development opportunities. With competitive benefits like hybrid working and private medical insurance, we offer a fulfilling environment for Senior Electronics Engineers looking to contribute to life-changing projects.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Owner - Leeds
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We think you need these skills to ace Platform Owner - Leeds
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!
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Craft a Tailored Cover Letter:For a full-time role at Xpertise Recruitment, 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 Xpertise Recruitment. 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 Xpertise Recruitment
✨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
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✨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.
