At a Glance
- Tasks: Lead and innovate enterprise data platforms while managing high-performing teams.
- Company: Join a large, data-driven organisation with a focus on technology leadership.
- Benefits: Competitive salary of £115,000, hybrid work model, and career growth opportunities.
- Other info: Engage with senior stakeholders and oversee large-scale technology programmes.
- Why this job: Shape the future of a major data ecosystem and drive impactful change.
- Qualifications: Experience in data management, cloud technologies, and team leadership required.
The predicted salary is between 70000 - 85000 £ per year.
Location: London (Hybrid)
Compensation: £115,000 P/A (FTC)
Duration: 12 Months
Skills: Python, SQL, Apache Spark, PySpark, Azure Databricks, Data Lakes, Data Warehouse Architecture, Leadership, Software Development, Management
The role:
We're partnering with a large, data-driven organisation seeking an experienced technology leader to take ownership of a critical enterprise data capability. This is a highly visible leadership opportunity, combining strategic platform oversight, engineering excellence, operational leadership, and senior stakeholder engagement. You'll play a key role in shaping the future of a major data ecosystem while leading high-performing teams responsible for delivering reliable, scalable, and business-critical platforms.
Responsibilities:
- Define and execute the long-term strategy for enterprise data platforms, balancing innovation, resilience, and business value.
- Lead multi-disciplinary engineering and delivery teams, driving operational excellence, platform reliability, and continuous improvement.
- Oversee large-scale technology programmes, ensuring successful delivery through effective governance, planning, and stakeholder management.
- Partner with senior business and technology leaders to influence investment decisions, platform roadmaps, and organisational data strategy.
Requirements:
- Significant experience leading data, platform, or technology functions within a complex enterprise environment.
- Strong background in data platforms, cloud technologies, engineering leadership, and operational management.
- Proven track record delivering large-scale transformation programmes and managing senior stakeholder relationships.
- Experience owning budgets, vendor relationships, and building high-performing teams with a focus on continuous improvement.
Interested? If you're a strategic technology leader who enjoys operating at both executive and delivery level, we'd love to hear from you. Apply today for a confidential discussion.
Senior Data Manager / Lead in London employer: Hunter Bond
Join a leading data-driven organisation in London, where innovation meets operational excellence. As a Senior Data Manager/Lead, you'll thrive in a hybrid work environment that fosters collaboration and professional growth, while enjoying competitive compensation and the opportunity to shape the future of enterprise data platforms. With a strong emphasis on leadership and continuous improvement, this role offers a unique chance to make a significant impact within a dynamic team dedicated to delivering business-critical solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Manager / Lead 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 Hunter Bond!
✨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 Senior Data Manager / Lead at Hunter Bond.
✨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 Hunter Bond.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Manager / Lead at Hunter Bond, 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 Senior Data Manager / Lead 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 Hunter Bond, 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 Hunter Bond. 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 Hunter Bond
✨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 Hunter Bond!
✨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.
