At a Glance
- Tasks: Design and implement data governance frameworks that drive real business value.
- Company: Join a dynamic team focused on data trust and integrity.
- Benefits: Competitive salary, modern tools, and a collaborative culture.
- Other info: Opportunity for end-to-end ownership and career growth.
- Why this job: Make a significant impact on data governance in a fast-paced environment.
- Qualifications: Experience in data governance and a user-first mindset.
The predicted salary is between 60000 - 75000 £ per year.
Shape how data drives the business. Build frameworks that actually get used.
We’re looking for a Data Governance expert who thrives on turning strategy into reality—someone who can design robust frameworks and ensure they land, scale, and deliver measurable business value.
Join the Data Trust & Integrity (DTI) team, part of the Group Data Office, where you’ll play a central role in defining how data is governed, trusted, and adopted across a complex, fast-moving environment.
The Opportunity
This is not a “write the policy and walk away” role. You’ll own the full lifecycle—from requirements gathering and design through to implementation, adoption, and continuous improvement—working across a high-volume, high-complexity data landscape.
You’ll bring together technology, architecture, control functions, and business teams, ensuring governance is not just compliant, but practical, scalable, and valuable.
What You’ll Be Doing
- Design, build, and own data governance policies, frameworks, principles, and adoption playbooks
- Drive business adoption and monitor effectiveness through KPIs and metrics
- Use and evolve AI tools to accelerate policy and framework design
- Collaborate across teams to shape priorities, define roadmaps, and secure buy-in
- Champion data culture, education, and awareness across the organisation
- Deliver training and ongoing support to embed governance into BAU
- Stay ahead of industry trends and best practice in data governance
What You’ll Bring
- Proven experience designing and implementing Data Governance & Data Quality frameworks
- Strong track record of driving adoption in complex, matrix environments
- Confidence working across IT, business units, operations, and control functions
- Deep understanding of:
- Data Quality & Governance principles
- Data Privacy, Classification & Retention
- User Access Models
- Master & Reference Data Management
- Experience defining and tracking data KPIs and measurable improvements
- A user-first mindset—you care about usability, adoption, and real-world impact
- Enthusiasm for leveraging AI tools to modernise governance
Why This Role?
- High impact: Shape governance across a large, complex data estate
- End-to-end ownership: Strategy → build → adoption → optimisation
- Modern tooling: AI-enabled approaches and agile delivery (Jira-based)
- Collaborative culture: Iterative, fast-paced, and business-focused
- Real influence: Drive data culture and trust across the organisation
If you’re someone who can bridge the gap between governance design and real-world adoption, and you want to build frameworks that actually stick—this is your role.
Data Policy Manager in City of London employer: Lorien
As a Data Policy Manager within our Data Trust & Integrity team, you'll be part of a dynamic and collaborative culture that values innovation and real-world impact. We offer a high-impact role with end-to-end ownership of data governance frameworks, supported by modern AI-enabled tools and a commitment to employee growth through continuous learning and development opportunities. Join us in shaping a data-driven future where your contributions will be recognised and valued across a complex, fast-moving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Policy Manager in City of London
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We think you need these skills to ace Data Policy Manager in City of London
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 Lorien, 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 Lorien. 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 Lorien
✨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 Lorien!
✨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.
