At a Glance
- Tasks: Lead data management initiatives and ensure data accuracy for strategic decision-making.
- Company: Join a dynamic team at Chiltern Railways, embracing innovation in data management.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Make a real impact by shaping data strategies in a vital industry.
- Qualifications: Degree in Computer Science or related field; experience with data platforms preferred.
The predicted salary is between 67000 - 67000 £ per year.
Location
London Marylebone, Hybrid Working – you should be comfortable working in a Chiltern location 3 days a week.
Contract Type
Permanent
Salary
- Up to £67,000 per annum
- Job Purpose
The Data Manager is accountable for establishing and operating an enterprise data management capability that ensures organisational data is accurate, trusted, secure, and fit for operational, regulatory, and strategic decision-making.
This includes designing and implementing a data strategy and services, setting and monitoring standards and principles, ensuring data accuracy and integrity, and enabling data-driven decision-making across the business.
It will cover the full suite of data capabilities – architecture, governance, management, engineering, master data, reporting and analytics.
- Key Accountabilities
- Establish and maintain an operational data capability aligned to the Chiltern Railways Data, Digital and Technology Strategy, with clear ownership, governance, and prioritisation.
- Develop, maintain, and assure a data strategy that supports organisational objectives, regulatory requirements, and measurable business outcomes.
- Recruit, lead and manage a team of up to three data engineers/BI Analysts over successive years.
- Undertake procurement exercises to select a partner(s) to define the target data architecture, assist with its implementation and ongoing, inform the data strategy for the organisation.
- Collaborate with stakeholders to understand data needs and provide timely, accurate, integrated data, reporting and insights.
- Define and evolve the target data architecture, and oversee delivery of data modelling, warehousing, integration, and pipeline solutions through internal teams and delivery partners.
- Ensure the integrity, security, availability, and appropriate use of data across all platforms, in line with agreed standards and controls
- Monitor data compliance with relevant legal, regulatory, and ethical standards (e. g., GDPR, Data Protection Act).
- Lead data governance initiatives, including defining and refining data policies, classifications, and quality standards.
- Supervise data analysts and data stewards; ensure effective training and capability development.
- Act as a key liaison between IT, business units, and third-party data providers.
- Work with IT and Digital teams to select, implement, and govern appropriate platforms for data management, visualisation, and analytics.
- Drive continuous improvement through audits, data quality metrics, and process enhancements.
- Work with the business, DDa T governance and the digital team to streamline and prioritise the team’s workload
Person Specification
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Information Management, or a related field (Master’s desirable) or equivalent experience
- Certifications in data management or governance (e. g., DAMA CDMP, Microsoft Certified Data Analyst) are an advantage.
- Strong working knowledge of Microsoft data platforms, including Power Platform, Microsoft Fabric, and Azure database technologies, with an emphasis on governance and enterprise use.
- Experience working in the rail industry or another regulated, asset-intensive, or safety-critical environment.
- Experience with machine learning, AI, or advanced analytics platforms.
- Strong communication skills, with the ability to explain complex data concepts clearly to non-technical and senior stakeholders.
Data Manager in London employer: Chiltern Railways
Chiltern Railways is an exceptional employer located in Bletchley, offering a dynamic work environment where innovation and teamwork thrive. Employees benefit from comprehensive training and development opportunities, fostering personal and professional growth while contributing to meaningful projects that enhance customer experiences. With a strong commitment to employee well-being and a culture that values collaboration, Chiltern Railways stands out as a rewarding place to build a career in the rail industry.
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 Chiltern Railways!
✨Show Off Your Projects
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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 Chiltern Railways.
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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 Chiltern Railways, 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 Chiltern Railways. 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 Chiltern Railways
✨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 Chiltern Railways!
✨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.
