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For Companies At a Glance
- Tasks: Help define and manage data to support business decisions and improve data quality.
- Company: Join a forward-thinking organisation focused on data governance and innovation.
- Benefits: Flexible working hours, part-time contract, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by ensuring data is used responsibly and effectively.
- Qualifications: Experience in data governance or management and strong analytical skills.
The predicted salary is between 40000 - 50000 £ per year.
We’re looking for a Data Governance Consultant to help us improve how we define, manage and use our data across the organisation. This role plays a key part in ensuring our critical data is well‑understood, high quality, and used responsibly to support business decisions, regulatory obligations and transformation activity.
Responsibilities
- Data governance:
- Working with data owners and change teams to define and document critical data
- Supporting the embedding of clear data ownership and governance practices
- Producing data governance metrics and insight to track progress and maturity
- Establishing and running data quality checks on critical data and processes
- Monitoring, logging and reporting on data quality trends
- Supporting data and process owners to resolve data quality issues
- Carrying out data profiling to inform projects and business change
- Managing and improving the organisation’s metadata repository
- Helping teams better understand the data estate through metadata and lineage
- Identifying innovative ways to use metadata to support impact analysis, efficiency and change delivery
- Providing advice to projects and teams impacting organisational data
- Acting as a trusted subject‑matter expert in data governance, reference data and data quality tools
- Ensuring change activity aligns with agreed standards, policies and regulatory expectations
What we’re looking for
You don’t need to tick every box to be successful in this role. We’re keen to hear from people who bring a mix of the following skills and experiences.
Experience & Knowledge
- Experience working in a data governance, data management or data quality role
- A good understanding of data governance principles, frameworks and best practice (e.g. DAMA or similar)
- Experience working with business stakeholders to define and document data or requirements
- Exposure to metadata management, data lineage or data quality tooling such as Alation or similar
Technical Skills
- Confidence working with different types of data, such as customer, transactional, financial or reference data
- Experience using data quality tools, data analysis or querying tools (e.g. SQL or similar)
- An understanding of how data supports reporting, analytics and decision‑making
Ways of Working
- Strong analytical skills, with the ability to interpret data and identify patterns or issues
- Clear, confident communication skills, with the ability to work across technical and non‑technical audiences
- A practical, collaborative approach and a willingness to suggest and implement improvements
If you’re excited by the opportunity to make a positive impact through data, we encourage you to apply.
Hours: 35 – Talk to us about Flexible Working
Contract Duration: Part‑Time, Permanent
Closing Date: 04 May 2026
Data Governance Consultant in London employer: Principality
Contact Detail:
Principality Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data governance field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in data governance. Join relevant groups and participate in discussions to get noticed by potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance principles and tools. Be ready to share examples of how you've tackled data quality issues or improved processes in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm, which we really appreciate.
We think you need these skills to ace Data Governance Consultant in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data governance and management. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Showcase Your Skills: When detailing your experience, focus on the specific tools and methodologies you've used, like SQL or data quality tools. We love seeing concrete examples of how you've tackled data challenges in the past.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your experience and avoid jargon unless it’s relevant. We appreciate clarity as much as you do!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Principality
✨Know Your Data Governance Principles
Make sure you brush up on data governance principles and frameworks like DAMA before the interview. Being able to discuss these concepts confidently will show that you understand the core of what the role entails.
✨Prepare Real-World Examples
Think of specific instances where you've worked with data owners or change teams to define and document critical data. Sharing these experiences will demonstrate your practical knowledge and how you can apply it in this new role.
✨Showcase Your Analytical Skills
Be ready to discuss how you've used analytical skills to interpret data and identify patterns. Prepare to explain any tools you've used, like SQL or data quality tools, and how they helped you in previous roles.
✨Communicate Clearly and Confidently
Practice explaining complex data concepts in simple terms. This will help you connect with both technical and non-technical audiences during the interview, showcasing your ability to bridge gaps between different stakeholders.