At a Glance
- Tasks: Lead data migration projects from start to finish, ensuring smooth integrations across acquisitions.
- Company: Join a VC-backed group revolutionising the UK property services sector with AI.
- Benefits: Competitive salary, travel opportunities, and a chance to shape the future of data migration.
- Other info: Ideal for hands-on managers eager to drive change in a growing company.
- Why this job: Take ownership of impactful projects in a fast-paced, innovative environment.
- Qualifications: Proven project management skills and a strong analytical mindset required.
The predicted salary is between 60000 - 70000 £ per year.
A VC-backed group building an AI-enabled roll-up in the UK property services sector is hiring a Data Migration Project Manager to own data migration across every acquisition. This is a newly created role and the single dedicated owner of data migration across the group. Today the work is split thinly across several people who each handle a slice alongside their day job, and it's slowing integrations down. You'll own it end to end, running each migration as a disciplined project from kick-off through data mapping and sandbox review to go-live, working closely with an external migration platform partner and stakeholders inside each acquired business.
Salary: £60,000 - £70,000
Location: UK-based, London preferred, with significant UK travel during the kick-off and data-mapping phases of each integration.
What you'll be doing:
- Own each acquired business's data migration end to end, from kick-off to go-live, against a tight timeline (typically around 60 days).
- Set up access, establish extraction and transformation pipelines with the external migration partner and lead the field-mapping decisions.
- Profile messy source data, surface the spreadsheets and shadow systems that always exist, and validate records line by line.
- Act as the single point of contact between the acquired business, the migration platform partner and internal product, finance, and operations teams.
- Build the data requirements playbook so future data needs are mapped upfront rather than collected piecemeal.
- Capture data and context from key staff before they leave the business post-acquisition.
- Refine templates, mapping standards and checklists migration by migration, driving towards one repeatable approach across the group.
What you'll need:
- Proven project management experience running structured workstreams against tight timelines with third-party partners and multiple stakeholders.
- Technical enough to lead a data conversation and make sound mapping decisions, comfortable with data structures, field mapping, transformation logic and source systems.
- Strong analytical mindset with the ability to profile, validate and clean data hands-on rather than handing it off.
- Highly organised across parallel workstreams without losing detail, with the capability to run two or three migrations concurrently at scale.
- Strong communicator across all levels, from branch staff to founders, able to build trust quickly inside a business you've only just walked into.
- Comfortable with the unglamorous manual work that can't be automated.
- Resilient and willing to be on the road during intensive kick-off and mapping phases.
This role would suit a hands-on project manager who wants real ownership of how the migration engine gets built across a fast-growing, acquisitive group.
Data Migration Project Manager in Slough employer: Digital Waffle
Join a dynamic and innovative VC-backed group at the forefront of the AI-enabled property services sector, where as a Data Migration Project Manager, you will have the unique opportunity to lead critical data migration projects that drive integration success across multiple acquisitions. Our collaborative work culture fosters growth and development, offering you the chance to refine your project management skills while working closely with diverse stakeholders. With a competitive salary and the excitement of being part of a fast-growing company, this role promises not just a job, but a meaningful career path in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Project Manager in Slough
✨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 Digital Waffle!
✨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 Migration Project Manager at Digital Waffle.
✨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 Digital Waffle.
✨Apply Directly through Our Website
When you find a suitable opening like Data Migration Project Manager at Digital Waffle, 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 Migration Project Manager in Slough
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 Digital Waffle, 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 Digital Waffle. 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 Digital Waffle
✨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 Digital Waffle!
✨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.