MDM & Data Governance Lead – Hybrid/Remote

MDM & Data Governance Lead – Hybrid/Remote

Full-Time No working from home possible
Highbury Consulting

At a Glance

  • Tasks: Lead the Master Data Management work stream in a major finance transformation.
  • Company: Highbury Consulting, a forward-thinking firm focused on data governance.
  • Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
  • Other info: Remote or hybrid work available across the UK.
  • Why this job: Make a significant impact in finance while leading a dynamic team.
  • Qualifications: Experience with MDM platforms and strong communication skills.

Highbury Consulting is seeking a Master Data Manager / Data Governance lead to own the MDM work stream in a major finance transformation. You will drive the implementation of an MDM platform while collaborating across technology, governance and business enablement.

This hands-on role manages a small team and requires strong communication to influence stakeholders. Vendor-agnostic experience with Informatica, Profisee, Semarchy or Stibo is preferred. Flexible working (Remote / Hybrid) in the UK.

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MDM & Data Governance Lead – Hybrid/Remote employer: Highbury Consulting

As a Graduate Quant Analyst at our company, you will join a dynamic and supportive team of actuaries dedicated to innovation in data analytics and quantitative analysis. We offer a competitive salary, bonus structure, and a collaborative work culture that fosters professional growth and development, all while working in a vibrant office environment four days a week. This role not only provides the opportunity to enhance your technical skills but also allows you to make a meaningful impact on our reinsurance portfolio through your contributions.

Highbury Consulting

Contact Details:

Highbury Consulting Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land MDM & Data Governance Lead – Hybrid/Remote

✨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 Highbury Consulting!

✨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 MDM & Data Governance Lead – Hybrid/Remote at Highbury Consulting.

✨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 Highbury Consulting.

✨Apply Directly through Our Website

When you find a suitable opening like MDM & Data Governance Lead – Hybrid/Remote at Highbury Consulting, 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 MDM & Data Governance Lead – Hybrid/Remote

Master Data Management (MDM)
Data Governance
Implementation of MDM Platforms
Stakeholder Communication
Team Management
Collaboration across Technology and Business
Vendor-Agnostic Experience

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 Highbury Consulting, 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 Highbury Consulting. 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 Highbury Consulting

✨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 Highbury Consulting!

✨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.