At a Glance
- Tasks: Lead data management initiatives and ensure data integrity across the organisation.
- Company: Join a well-known organisation undergoing exciting technology transformation.
- Benefits: Competitive salary, discounted transport, 25 days holiday, and hybrid working.
- Other info: Opportunity for career growth and leading a small team.
- Why this job: Make a real impact on data strategy in a dynamic environment.
- Qualifications: Experience in data management and strong communication skills required.
The predicted salary is between 55000 - 65000 £ per year.
Opportunity for a Data Manager to join a well-known organisation undergoing significant technology transformation. A reputable, complex organisation with numerous sites, providing services to hundreds-of-thousands across the country. You'll be joining at a particularly exciting time for the business. Reporting directly to the Head of IT, you'll be responsible for establishing and leading an enterprise-wide data management capability within a regulated, operationally complex environment. This is a key role responsible for ensuring organisational data is accurate, trusted, secure and fit for operational, regulatory and strategic decision-making, spanning data strategy, governance, architecture, engineering, reporting and analytics.
Key Responsibilities:
- Build and deliver an enterprise data strategy, aligned to business objectives and measurable outcomes
- Establish robust data governance, ownership, standards, quality controls and prioritisation
- Lead the development of target data architecture, including warehousing, modelling, integrations and pipelines
- Oversee data integrity, security, availability and compliance (including GDPR / Data Protection)
- Manage delivery through internal teams and external partners, including procurement and supplier management
- Recruit and lead a small team (up to 3 data engineers / BI analysts) over time
- Work closely with stakeholders to deliver timely, accurate reporting and actionable insights
- Drive continuous improvement through data quality metrics, audits and process optimisation
Skills & Experience:
- Strong experience in enterprise data management, governance and architecture
- Excellent knowledge of Microsoft data platforms (Power Platform, Microsoft Fabric, Azure data technologies)
- Confident communicator able to translate complex data concepts for senior/non-technical stakeholders
- Experience in regulated, asset-intensive or safety-critical sectors
Salary up to £70,000 PA. The role offers excellent benefits, including free/heavily discounted public transport travel, 25 days holiday.
Data Manager in London employer: Context
As a leading Public Sector organisation, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises safety, risk management, and compliance. Our employees benefit from competitive salaries, flexible hybrid working arrangements, and ample opportunities for professional development, ensuring that you can grow your career while making a meaningful impact in the community. Join us to be part of a team that values expertise and innovation in a supportive environment, where your contributions directly enhance safety across various industrial settings.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager 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 Context!
✨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 Manager at Context.
✨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 Context.
✨Apply Directly through Our Website
When you find a suitable opening like Data Manager at Context, 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 Manager in 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 Context, 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 Context. 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 Context
✨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 Context!
✨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.
