Data Governance Lead β€” Finance Data Stewardship in London

Data Governance Lead β€” Finance Data Stewardship in London

London Full-Time 60750 - 74250 Β£ / year (est.) No working from home possible
M

At a Glance

  • Tasks: Lead data governance initiatives and ensure data quality across teams.
  • Company: Morgan Philips Group, a leader in data strategy and governance.
  • Benefits: Competitive salary, flexible working options, and career advancement opportunities.
  • Other info: Join a dynamic team in a fast-paced environment.
  • Why this job: Shape the future of data management and drive impactful change.
  • Qualifications: Experience in data governance and strong collaboration skills.

The predicted salary is between 60750 - 74250 Β£ per year.

Morgan Philips Group SA is recruiting for a Data Governance Lead in London.

You will drive the Data Strategy, govern critical data assets, and promote data ownership across business and technology teams.

You will maintain the Data Catalogue, policies and controls, while collaborating with stakeholders to ensure data quality, lineage and glossary standards are applied across the organisation.

#J-18808-Ljbffr

Data Governance Lead β€” Finance Data Stewardship in London employer: Morgan Philips Group SA

Join a leading real estate investment and asset management firm that values innovation and collaboration, offering a competitive salary of Β£90-115,000 plus bonuses and benefits. With a hybrid working model allowing four days in the London office, employees enjoy a dynamic work culture that fosters professional growth and development, making it an ideal environment for those passionate about commercial real estate. The firm prioritises diversity and inclusion, ensuring all team members are respected and valued.

M

Contact Details:

Morgan Philips Group SA Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Governance Lead β€” Finance Data Stewardship 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 Morgan Philips Group SA!

✨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 Lead β€” Finance Data Stewardship at Morgan Philips Group SA.

✨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 Morgan Philips Group SA.

✨Apply Directly through Our Website

When you find a suitable opening like Data Governance Lead β€” Finance Data Stewardship at Morgan Philips Group SA, 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 Lead β€” Finance Data Stewardship in London

Communication Skills
Problem-Solving Skills
Stakeholder Management
Attention to Detail
Data Governance
SQL
Python

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 Morgan Philips Group SA, 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 Morgan Philips Group SA. 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 Morgan Philips Group SA

✨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 Morgan Philips Group SA!

✨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.