Data Governance Manager in Edinburgh

Data Governance Manager in Edinburgh

Edinburgh Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Spencer Rose Ltd

At a Glance

  • Tasks: Lead and evolve our Data Governance strategy and framework across the organisation.
  • Company: Dynamic company in Edinburgh with a focus on data security and innovation.
  • Benefits: Competitive salary, hybrid work options, and comprehensive benefits package.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real impact by ensuring data is a trusted business asset.
  • Qualifications: Experience in data governance and strong leadership skills required.

The predicted salary is between 60000 - 80000 £ per year.

Location: Edinburgh/Hybrid

Salary: Competitive + Benefits

The Opportunity

We are seeking an experienced Data Governance Manager to lead and evolve our enterprise Data Governance capability. Reporting to the Chief Information Security Officer (CISO), you will be responsible for defining and delivering the organisation's Data Governance strategy, framework and operating model. You will ensure data is managed as a trusted, secure and valuable business asset, supporting regulatory compliance, informed decision-making and business innovation. Working across Information Security, Data Analytics, Risk, Legal, Architecture and business functions, you will drive governance adoption, establish clear accountability for data ownership and quality, and embed governance practices across the organisation.

Key Responsibilities

  • Define and lead the enterprise Data Governance strategy, framework and operating model.
  • Establish governance policies and standards covering data ownership, quality, classification, retention and life cycle management.
  • Drive organisation-wide adoption of Data Governance practices and accountability.
  • Chair governance forums and provide oversight of governance risks, compliance and improvement activities.
  • Build strong relationships with senior stakeholders.

Data Governance Manager in Edinburgh employer: Spencer Rose Ltd

This industry-leading organisation in Watford offers an exceptional work environment for Python Developers, combining a hybrid work model with a strong emphasis on collaboration and mentorship. Employees benefit from competitive salaries, excellent benefits, and opportunities for professional growth while working on cutting-edge technology in a supportive culture that values engineering excellence and innovation.

Spencer Rose Ltd

Contact Details:

Spencer Rose Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Governance Manager in Edinburgh

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Apply Directly through Our Website

When you find a suitable opening like Data Governance Manager at Spencer Rose Ltd, 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 Manager in Edinburgh

Communication Skills
Attention to Detail
Problem-Solving Skills
Data Governance
SQL
Automation
Data Engineering

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 Spencer Rose Ltd, 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 Spencer Rose Ltd. 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 Spencer Rose Ltd

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 Spencer Rose Ltd!

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.