At a Glance
- Tasks: Lead major data transformation programmes and deliver complex data platforms.
- Company: Growing tech business with a focus on innovation and collaboration.
- Benefits: Competitive salary, performance-related bonus, and hybrid working model.
- Other info: Senior-level role with significant influence and career growth opportunities.
- Why this job: Shape the future of data delivery in a dynamic technology environment.
- Qualifications: Experience in leading large-scale data transformations and managing client relationships.
The predicted salary is between 63000 - 77000 £ per year.
- Senior Data Project Manager
- 60,000–70,000
- Hybrid (London office once a week, central)
I'm working on a great opportunity for a Senior Data Project Manager to join a growing technology business, leading major data transformation programmes for enterprise clients.
The role will take ownership of end-to-end delivery, working closely with data engineering, analytics and product teams to deliver complex data platforms and transformation projects.
What they're looking for
- Proven experience leading large-scale data transformation programmes within enterprise environments.
- Strong understanding of modern data platforms, ideally Snowflake, Databricks, Big Query or Redshift.
- Experience managing programme governance, RAID, steering committees and executive reporting.
- Confident managing senior client relationships and multiple stakeholders.
- Commercially aware, with responsibility for budgets, forecasting, scope and change control.
- Comfortable working across technical and non-technical teams.
The details
- 60,000–70,000 salary + performance-related bonus.
- Hybrid working, with just 1 day per week in a London office.
- Senior-level position with real ownership and influence.
- Opportunity to shape delivery within a growing technology business.
I'm keen to speak with Senior Data Project Managers who have a strong track record of delivering enterprise data transformation and enjoy working closely with both clients and technical teams.
Senior Data Project Manager in London employer: LGBT Great
Northern Trust is an exceptional employer, offering a collaborative and flexible work culture that prioritises employee growth and inclusivity. With over 135 years of financial expertise, employees are encouraged to develop their careers while contributing to meaningful philanthropic efforts in the community. The role of EMEA Head of Insurance Investment Accounting provides a unique opportunity to shape innovative solutions for the UK market, supported by a strong commitment to service, expertise, and integrity.
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We think this is how you could land Senior Data Project Manager in London
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We think you need these skills to ace Senior Data Project 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!
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Craft a Tailored Cover Letter:For a full-time role at LGBT Great, 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 LGBT Great. 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 LGBT Great
✨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
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✨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.
