At a Glance
- Tasks: Lead the enterprise metadata roadmap and drive adoption of data governance tools.
- Company: Talentsure, a forward-thinking company focused on data solutions.
- Benefits: Remote-first work, hybrid flexibility, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and collaboration.
- Why this job: Shape the future of data governance while collaborating with diverse teams.
- Qualifications: Experience in data governance and strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
Talentsure is seeking a Metadata Lead to own the enterprise metadata roadmap and drive adoption of Collibra and Unity Catalog across the organisation.
You will partner with Data Owners, IT, and the wider data community to deliver scalable, value-driven solutions.
The role requires leadership in data governance, collaboration, and coaching to develop stakeholders while aligning with business priorities.
Remote-first with office visits in Hampshire 2–3 times monthly offering hybrid flexibility.
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Remote Metadata Lead - Data Governance & Tooling in Hampshire employer: Talentsure
Talentsure is an excellent employer located in the vibrant city of Bournemouth, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive training and development opportunities, ensuring personal and professional growth while being part of a supportive team that values proactive communication and initiative. With a focus on employee well-being and a commitment to excellence, Talentsure provides a rewarding environment for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Metadata Lead - Data Governance & Tooling in Hampshire
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Talentsure!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Talentsure.
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We think you need these skills to ace Remote Metadata Lead - Data Governance & Tooling in Hampshire
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 Talentsure, 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 Talentsure. 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 Talentsure
✨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!
✨Showcase Your Projects
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 Talentsure!
✨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.
