At a Glance
- Tasks: Lead innovative data products and shape strategies that drive real impact in FinTech.
- Company: Join a transformative FinTech business revolutionising customer interactions with data.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting career path in a fast-paced, regulated environment.
- Why this job: Be at the forefront of data innovation and make a difference in a dynamic industry.
- Qualifications: 5+ years in Data Product Management with strong stakeholder management skills.
The predicted salary is between 80000 - 100000 £ per year.
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 You'll Be Doing
- Own a portfolio of data products within a specific domain, which could be Customer Data for example.
- Working on exciting innovations like building a Data Marketplace.
- Define product vision, strategy, roadmaps and success measures.
- 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 the engineering teams who build it
- Work closely with business stakeholders to understand needs and turn them into clear product priorities.
- Partner with Data Engineering, Architecture, Data Science and Governance teams to deliver valuable, trusted data products.
- Prioritise initiatives, make trade-offs and ensure focus remains on the highest-value opportunities.
- Drive adoption and usage of data products across the business.
- Monitor product performance, value delivered and operational costs.
- Ensure products meet governance, quality and regulatory requirements.
- Lead ongoing discovery to identify new opportunities and improve existing products.
- What We’re Looking For
- 5+ years' experience in Data Product Management, Analytics Product Management or a similar role.
- Proven track record of owning data products, not simply delivering projects.
- Strong understanding of data, analytics and how organisations consume and use data to make decisions.
- Experience defining product strategy, roadmaps and measurable outcomes.
- Excellent stakeholder management skills with the ability to influence and challenge senior leaders.
- Commercially minded with experience balancing value, cost and investment decisions.
- Experience working with Data Engineering, Architecture, Data Science and Governance teams.
- Comfortable operating in complex, regulated environments.
- Nice to Have
- Experience with modern cloud data platforms such as Snowflake, Big Query or Redshift.
- Exposure to AI/ML products, features or model governance.
- Experience managing data product SLAs and support models.
- Background
- Ideally, you'll have experience within
Fin Tech or Financial Services , although we're also open to candidates from other heavily regulated industries with large, complex customer data environments.
Fin Tech and FS experience will naturally be highly advantageous given the nature of the business and the transformation programme.
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Senior Data Product Manager - FinTech Data Platforms in Hounslow 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 Data Platforms in Hounslow
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We think you need these skills to ace Senior Data Product Manager - FinTech Data Platforms in Hounslow
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 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!
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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 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.
