At a Glance
- Tasks: Own and manage a portfolio of data products while driving value through effective product management.
- Company: Join Hargreaves Lansdown, a leader in financial services with a focus on innovation.
- Benefits: Enjoy flexible working options, a discretionary annual bonus, and a fantastic pension scheme.
- Other info: Great opportunity for career growth in a supportive and innovative company.
- Why this job: Make a real impact by bridging business and engineering teams in a dynamic environment.
- Qualifications: 5+ years in data product management and strong stakeholder management skills required.
The predicted salary is between 60000 - 80000 £ per year.
Hargreaves Lansdown is seeking a skilled Data Product Manager in Liverpool to own a portfolio of data products and drive value through effective product management. You will act as the primary interface between business stakeholders and engineering teams, maintaining the product roadmap and ensuring alignment with strategic priorities.
The ideal candidate will have over 5 years of experience in data product management, strong stakeholder management skills, and an understanding of the financial services sector.
Enjoy benefits like a discretionary annual bonus, flexible working options, and a great pension scheme.
Strategic Data Product Manager — Hybrid in Liverpool employer: Hargreaves Lansdown
Hargreaves Lansdown is an excellent employer, offering a dynamic work culture in Liverpool that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to professional development opportunities and flexible working options, alongside competitive benefits such as a discretionary annual bonus and a robust pension scheme. Join us to make a meaningful impact in the financial services sector while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Data Product Manager — Hybrid in Liverpool
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We think you need these skills to ace Strategic Data Product Manager — Hybrid in Liverpool
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 Hargreaves Lansdown, 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 Hargreaves Lansdown. 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 Hargreaves Lansdown
✨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.
