At a Glance
- Tasks: Lead the development of innovative data products that drive real business value.
- Company: Dynamic FinTech company undergoing a major transformation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a forward-thinking team focused on redefining customer experiences.
- Why this job: Shape the future of data products and make a significant impact in the FinTech space.
- Qualifications: Proven experience in product management with a strong understanding of data.
The predicted salary is between 72000 - 88000 £ per year.
Senior Data Product Manager / Data Product Manager / Head of Data Product We've partnered with a brilliant Fin Tech business that's going through a major transformation across Data, Digital, Technology and Customer Experience.
They're completely rethinking how customers and colleagues interact with the business and its platforms, all powered by large-scale, complex data.
As part of this journey, they're looking for two Senior Data Product Managers to take ownership of key data domains.
Whilst strong data expertise is important, the real focus is finding proven Product Managers who know how to define, shape and grow successful data products.
This is not a Project Manager or Delivery Manager role.
We're looking for true Product professionals who can own strategy, roadmap, adoption and outcomes from end to end.
What the job involves Data engineers build.
Data scientists model.
But someone needs to decide what gets built, why it matters, and whether it's actually delivering value.
That's this role You'll own a portfolio of data products within a domain - defining what each product is, who it serves, and what outcome it drives You'll maintain the roadmap, make trade-offs, drive adoption, and kill things that aren't working.
You're the interface between business stakeholders who need data to make decisions and th...
Senior Data Product Manager - FinTech/FS - Transformation employer: Sanderson
At Sanderson, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Belfast. Our commitment to employee growth is evident through tailored development programmes and opportunities for advancement, ensuring that our team members thrive in their careers while enjoying competitive rewards and a strong focus on health and safety compliance. Join us to take ownership of impactful projects and be part of a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Product Manager - FinTech/FS - Transformation
✨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 Sanderson!
✨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 Product Manager - FinTech/FS - Transformation at Sanderson.
✨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 Sanderson.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Product Manager - FinTech/FS - Transformation at Sanderson, 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 Product Manager - FinTech/FS - Transformation
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 Sanderson, 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 Sanderson. 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 Sanderson
✨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 Sanderson!
✨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.
