At a Glance
- Tasks: Lead the strategy and evolution of Master Data Management platforms to meet business needs.
- Company: Join a culture-driven organisation that values collaboration and innovation.
- Benefits: Enjoy hybrid working, flexible hours, and a supportive team culture.
- Other info: Diversity and inclusion are at the heart of our values.
- Why this job: Shape data-driven outcomes and make a real impact with cutting-edge technology.
- Qualifications: Experience with enterprise MDM platforms and strong communication skills required.
The predicted salary is between 63000 - 77000 £ per year.
Experteer Overview As Master Data Management Platform Owner, you will lead the strategy, evolution, and reliability of key MDM platforms to meet business needs.
You'll bridge business operations, product strategy, and technical implementation to ensure platform value and alignment with objectives.
You'll address data governance, optimization, and AI-enabled enhancements within the platform.
You work with cross-functional teams to maintain availability, performance, and security at scale.
This is a culture-driven, collaborative role with autonomy to shape data-driven outcomes across the organisation.
- Develop and maintain the platform strategy and roadmap, including business case, high-level use cases, ROI, and alignment with priorities
- Monitor platform updates and industry trends to anticipate business impact
- Collaborate with vendors and account managers to maximise platform value
- Act as platform subject matter expert to guide optimization, performance, and innovation, including AI within the ecosystem
- Hands-on experience with enterprise MDM platforms (Clued In, Informatica, Profisee)
- Proven track record implementing and operating MDM across multiple data domains (customer, product, vendor, sales, employee)
- Deep understanding of MDM concepts: data matching, merging, survivorship, hierarchy management, golden record creation
- Excellent communicator with proven cross-team collaboration
- Strong grasp of cloud-native MDM and integration within a modern data platform architecture
- Key requirements
- Hybrid working
- Flexible hours
- Autonomy to realise potential
- Supportive team culture
- Diversity and inclusion commitments
- value including AI within the ecosystem
- Hands-on experience with enterprise MDM platforms (Clued In, Informatica, Profisee)
- Proven track record implementing and operating MDM across multiple data domains (customer, product, vendor, sales, employee)
- Deep understanding of MDM concepts: data matching, merging, survivorship, hierarchy management, golden record creation
- Excellent communicator with proven cross-team collaboration
- Strong grasp of cloud-native MDM and integration within a modern data platform architecture
- Key requirements
- Hybrid working
- Flexible hours
- Autonomy to realise potential
- Supportive team culture
- Diversity and inclusion commitments
- #J-18808-Ljbffr
Platform Owner - MDM in Leeds employer: Softcat plc
Softcat plc is an excellent employer, offering a dynamic work environment in Marlow that fosters collaboration and innovation. With flexible working patterns and a strong emphasis on employee growth, you will have the opportunity to develop your skills in procurement while contributing to meaningful projects. The supportive culture and commitment to delivering value for money make Softcat a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Owner - MDM in Leeds
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We think you need these skills to ace Platform Owner - MDM in 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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How to prepare for a job interview at Softcat plc
✨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 Softcat plc!
✨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.
