At a Glance
- Tasks: Drive data product development to boost revenue and broker engagement.
- Company: Fast-growing fintech company revolutionising the insurance market.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team with a startup culture and endless growth potential.
- Why this job: Be at the forefront of data innovation and make a real impact in the industry.
- Qualifications: Experience in data product management and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
Since signing up our first partners in late 2022, we’ve processed $100M+ of premium with 27 broking houses and 22 insurers. We’re targeting $1B of premium to flow through our Exchange by the end of 2027. Our data and technical capabilities have grown rapidly to support this ambition. The next challenge is unlocking their full commercial potential by embedding data into sale, account management and trading operations.
To do this, we’re looking for a Data Product Manager (DPM) with fintech, InsurTech, or scale-up experience to help transform strong analytical foundations into commercially impactful products. This role will sit at the intersection of data, product, trading ops, and commercial, driving prioritisation, execution, and alignment across functions. The DPM will champion product thinking and execution velocity, ensuring we focus on high-impact initiatives that accelerate GWP growth, improve indexation, and make data an indispensable part of our go-to-market engine.
Responsibilities
- Productise Data to drive GWP growth: Own and develop data-driven products and insights that directly impact revenue and broker/carrier engagement. Identify commercial opportunities within data (e.g., broker analytics, underwriting intelligence, risk scoring models). Work closely with the Trading Ops and Commercial teams to prioritise data initiatives that drive revenue.
- Prioritisation & execution: Cut through inefficiencies and ensure we focus only on high-impact data initiatives. Develop a clear roadmap for data productisation that aligns with InsurX’s GWP target. Drive rapid execution cycles, ensuring minimum viable data products (MVDPs) are delivered in weeks, not months.
- Bridge Data, Engineering & Commercial Teams: Work cross-functionally to ensure data is embedded into InsurX’s platform and trading strategies. Collaborate with Engineering to improve data pipelines, data quality, and automation. Influence the Commercial team on how to sell and market data-backed insights to brokers and carriers or leverage our data capabilities to sell, upsell and cross-sell.
- Improve Data scalability: Develop a scalable data strategy to increase revenue from broker/underwriter partnerships. Ensure all data efforts translate into commercial value and not just reporting.
- Data governance & strategy: Implement a systematic approach to managing, distributing, and visualising data.
Deep understanding of data science, analytics, and data engineering concepts. Experience working in high-growth startups or scale-ups with a strong commercial focus. Track record of driving data product adoption in organisations with low initial product maturity. Ability to cut through noise, prioritise high-impact data initiatives, and deliver fast (weeks, not months) without corporate overhead. Proven ability to turn data into commercial products (e.g., risk models, underwriting tools, broker insights). Strong cross-functional leadership and ability to work with commercial, engineering, and trading teams. Hands-on experience with BI tools, data platforms, and analytics solutions. Startup mindset: bias for action, ability to work with ambiguity, and results-driven.
Data Product Manager - Data employer: InsurX
At InsurX, we pride ourselves on being an exceptional employer that fosters a collaborative and dynamic work culture in the heart of London. As an Executive Assistant, you will not only support our visionary CEO but also play a pivotal role in driving the company's growth while enjoying ample opportunities for personal and professional development. Our commitment to employee well-being is reflected in our supportive environment, where your contributions are valued, and your career aspirations are nurtured.
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We think this is how you could land Data Product Manager - Data
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We think you need these skills to ace Data Product Manager - Data
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at InsurX. 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 InsurX
✨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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✨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.
