Lead Enterprise Data Governance – Build Trusted Data in London

Lead Enterprise Data Governance – Build Trusted Data in London

London Full-Time 59400 - 72600 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data governance initiatives and enhance data quality across the organisation.
  • Company: Join innocent, a mission-driven company with a collaborative culture.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in analytics and AI.
  • Why this job: Shape the future of data governance and influence transformative projects.
  • Qualifications: Experience in data governance and strong leadership skills.

The predicted salary is between 59400 - 72600 Β£ per year.

innocent is seeking a senior data governance lead to define and evolve enterprise data governance, standards and ways of working across the business. You will build a community of Data Owners and Data Stewards, drive data quality improvements, and shape roadmaps for data dictionaries, glossaries, data quality monitoring and Master Data Management (MDM). Join a mission-driven team influencing analytics, transformation programmes and AI initiatives with a collaborative culture and a strong focus.

Lead Enterprise Data Governance – Build Trusted Data in London employer: innocent drinks

At innocent, we pride ourselves on being an excellent employer, offering a vibrant and collaborative work culture that empowers our employees to drive meaningful change in data governance. With a strong focus on professional growth, we provide ample opportunities for career development and the chance to influence transformative analytics and AI initiatives. Located in a dynamic environment, our team thrives on innovation and teamwork, making it a rewarding place to contribute to our mission-driven goals.

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Contact Details:

innocent drinks Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Lead Enterprise Data Governance – Build Trusted Data in London

✨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 innocent drinks!

✨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 Lead Enterprise Data Governance – Build Trusted Data at innocent drinks.

✨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 innocent drinks.

✨Apply Directly through Our Website

When you find a suitable opening like Lead Enterprise Data Governance – Build Trusted Data at innocent drinks, 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 Lead Enterprise Data Governance – Build Trusted Data in London

Data Governance
Data Quality Improvement
Master Data Management (MDM)
Data Dictionary Development
Data Glossary Creation
Data Quality Monitoring
Community Building

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 innocent drinks, 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 innocent drinks. 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 innocent drinks

✨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 innocent drinks!

✨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.