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- Tasks: Join our Data Management team to enhance data quality and support agile squads.
- Company: Ki, a pioneering tech-driven insurance company transforming a 335-year-old market.
- Benefits: Competitive salary, inclusive culture, and recognition for extraordinary efforts.
- Why this job: Make a real impact by embedding a data quality culture in a fast-growing company.
- Qualifications: Hands-on experience in data management and strong communication skills.
- Other info: Dynamic environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Who are we? Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers' legs. Ki's mission is simple: digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning, and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier and the fastest growing syndicate in the Lloyd's of London market, being the first ever to make $100m in profit in 3 years. Ki's teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status quo and help it reach new horizons.
Where you come in? We're looking for hands-on Data Managers to join our growing Data Management team to support the continuous improvement and adoption of data management processes and technology for our agile squads and business teams at Ki.
What you will be doing: In this role, you will work closely with internal Ki customers and stakeholders to embed a data quality culture, ensuring best practices are followed across Ki and developing data quality KPIs to help measure this. This role will involve you conducting impactful data analysis around our data quality, ensuring insights are actionable and accessible to key stakeholders, as well as using storytelling to translate these insights into meaningful narratives. Adoption of best practice across the organisation is key to success in this role so this candidate must be willing to be people facing.
What you will bring to the role: This is a hands-on role, and you will be critical to the rollout of data quality and management and ensuring adoption of these standards and associated tools across Ki. It will require you to confidently interact with data engineers and analysts as well as non-technical stakeholders.
What to expect during the recruitment process: Initial recruiter screening call, Interview with hiring manager, Technical Interview (this may vary depending on the role), Values Interview.
Ki Values:
- Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent.
- Grow Together: Empower each other to succeed. Recognise the work of our teams while celebrating individual success. Embrace diverse perspectives so we can develop and grow together.
- Be Courageous: Think big, push boundaries. Don't be afraid to fail because that's how we learn. Test, adapt, improve - always strive to be better.
Our culture: At Ki, we are committed to creating an inclusive environment where every colleague is valued and respected for who they are and can do the best work of their careers. Inclusion is a critical foundation of our business and people strategies and supports our vision of becoming a market-leading, digital and data-led specialty insurance business. An inclusive workplace fuels innovation because creativity thrives when everyone feels valued, respected, and supported to drive it. So, no matter who you are, where you're from, how you think, or who you love, we believe you should be you.
What we offer: You'll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals. If this sounds like a role and a culture that appeals to you, apply now!
Data Manager in London employer: Innovation Group
Contact Detail:
Innovation Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Ki. A friendly chat can open doors that applications alone can't. Use LinkedIn to connect and engage with their posts.
✨Tip Number 2
Prepare for your interviews by understanding Ki's mission and values. Show how your skills align with their goals. Be ready to discuss how you can contribute to their data quality culture and agile teams.
✨Tip Number 3
Practice storytelling with your data insights. Ki loves actionable narratives, so think about how you can present your analysis in a way that resonates with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Ki team.
We think you need these skills to ace Data Manager in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Manager role. Highlight your experience with data quality and management processes, and show how you can contribute to our mission at Ki. We want to see how your skills align with our goals!
Showcase Your Storytelling Skills: Since you'll be translating data insights into meaningful narratives, include examples in your application where you've successfully communicated complex data findings. We love seeing candidates who can make data relatable and actionable!
Emphasise Collaboration: At Ki, we value teamwork and diverse perspectives. In your application, mention any experiences where you've worked closely with both technical and non-technical stakeholders. Show us how you can bridge the gap between different teams!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you're keen on being part of our innovative team at Ki!
How to prepare for a job interview at Innovation Group
✨Know Your Data
Before the interview, dive deep into Ki's data management processes and technology. Familiarise yourself with their approach to data quality and how they use algorithms and machine learning. This will not only show your enthusiasm but also help you engage in meaningful conversations with the interviewers.
✨Prepare Your Storytelling Skills
Since you'll need to translate data insights into compelling narratives, practice how you would present complex data findings in a simple, relatable way. Think of examples from your past experiences where you successfully communicated data-driven insights to non-technical stakeholders.
✨Embrace the Culture
Ki values inclusivity and collaboration, so be ready to discuss how you can contribute to this culture. Share examples of how you've empowered team members or embraced diverse perspectives in previous roles. This will demonstrate that you align with their core values.
✨Ask Insightful Questions
Prepare thoughtful questions about Ki's data quality initiatives and how they measure success. This shows your genuine interest in the role and helps you understand how you can make an impact. Plus, it gives you a chance to assess if Ki is the right fit for you!
