At a Glance
- Tasks: Lead data governance projects and mentor a dynamic team across the UK and India.
- Company: Join nxzen, a forward-thinking company shaping the future of data governance.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a collaborative environment with exciting career advancement opportunities.
- Why this job: Make a real impact in the energy sector while developing innovative governance solutions.
- Qualifications: Expertise in data governance and experience with Purview and Collibra required.
The predicted salary is between 60750 - 74250 £ per year.
nxzen seeks a Data Governance Lead to grow its UK offerings in data governance and operating models.
You will lead complex engagements with energy utilities, shape client propositions, and deliver hands-on governance work across Purview and Collibra, while mentoring a UK/India team.
Hybrid delivery with strong business development is expected.
You will translate data vision into scalable governance solutions, build strategic partnerships, and drive adoption within client organisations.
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Data Governance Lead, DAMA-DMBOK Expert (Hybrid UK) employer: nxzen
Nxzen is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible hybrid working model that promotes work-life balance. Located in Solihull, our vibrant open-plan offices foster collaboration and innovation, while our comprehensive benefits package, including enhanced maternity pay and private healthcare, ensures that our team members feel valued and supported. Join us to lead the SAP practice in a dynamic environment where your expertise will drive meaningful change across regulated sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Lead, DAMA-DMBOK Expert (Hybrid UK)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Governance Lead, DAMA-DMBOK Expert (Hybrid UK)
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 nxzen, 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 nxzen. 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 nxzen
✨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.
