Data Governance & Privacy Lead (GDPR)

Data Governance & Privacy Lead (GDPR)

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Zurich Cover-More

At a Glance

  • Tasks: Lead data governance initiatives and ensure compliance with GDPR across Cover-More Europe.
  • Company: Join Zurich Cover-More, a leader in travel insurance and data protection.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on innovation and business growth.
  • Why this job: Make a significant impact on data security and privacy in a dynamic environment.
  • Qualifications: Proven experience in data governance and strong understanding of GDPR regulations.

The predicted salary is between 63000 - 77000 £ per year.

Zurich Cover-More in the United Kingdom seeks a senior data governance leader to embed a pragmatic operating model across Cover-More Europe, ensuring data is managed securely, compliantly, and in support of business growth.

You will define governance framework, ownership, retention, and risk management, collaborate with the external DPO, and drive data protection across transformation initiatives while reporting to senior stakeholders.

Data Governance & Privacy Lead (GDPR) employer: Zurich Cover-More

Zurich Cover-More is an excellent employer that values its employees by fostering a supportive work culture in the vibrant city of Brighton. With a strong emphasis on teamwork and professional development, employees are encouraged to grow their skills while enjoying competitive benefits and a dynamic work environment. Joining our team means being part of a company that prioritises both personal and professional fulfilment, making it a rewarding place to build your career.

Zurich Cover-More

Contact Details:

Zurich Cover-More Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Governance & Privacy Lead (GDPR)

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 Zurich Cover-More!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Governance & Privacy Lead (GDPR) at Zurich Cover-More.

Leverage Professional Networks

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 Zurich Cover-More.

Apply Directly through Our Website

When you find a suitable opening like Data Governance & Privacy Lead (GDPR) at Zurich Cover-More, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Governance & Privacy Lead (GDPR)

Data Governance
GDPR Compliance
Risk Management
Data Protection
Stakeholder Management
Collaboration
Framework Development

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 Zurich Cover-More, 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 Zurich Cover-More. 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 Zurich Cover-More

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 Zurich Cover-More!

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.