At a Glance
- Tasks: Lead a team to manage and deliver a Data Transformation Programme in London.
- Company: Source Group International Ltd, a leader in asset management solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and governance.
- Why this job: Make a significant impact on data transformation in a dynamic industry.
- Qualifications: Experience with data programmes and platforms like Snowflake and Azure is essential.
The predicted salary is between 60000 - 80000 £ per year.
Source Group International Ltd is seeking a Programme Manager to oversee a Data Transformation Programme in London.
The role involves delivery, resourcing and budget management, working closely with the sponsor and stakeholders.
Experience with data programmes and platforms such as Snowflake, Collibra, Solidatus, Azure and AWS is required.
You will lead a team of Engineers, QAs, Delivery Leads and Analysts, ensuring governance and reporting across delivery.
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Data Transformation Programme Manager – Asset Management in London employer: Source Technology Limited
Source Technology Limited is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals looking to thrive in the tech industry. With a strong emphasis on employee growth and development, team members are encouraged to enhance their skills through continuous learning opportunities while working on cutting-edge cloud technologies. Located in the United Kingdom, the company offers a dynamic environment where creativity and technical expertise are valued, ensuring that employees can make a meaningful impact in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Data Transformation Programme Manager – Asset Management in London
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We think you need these skills to ace Data Transformation Programme Manager – Asset Management 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 Source Technology Limited, 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 Source Technology Limited. 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 Source Technology Limited
✨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!
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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 Source Technology Limited!
✨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.
