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- Tasks: Transform data strategies and enhance data capture using AI in a dynamic insurance environment.
- Company: A growing insurer with a focus on innovation and data transformation.
- Benefits: Hybrid working, competitive contract rate, and the chance to shape future data solutions.
- Why this job: Join a major data transformation project and make a real impact in the insurance industry.
- Qualifications: Experience as a Data Architect, preferably in the insurance sector.
- Other info: Initial 6-month contract with opportunities for career growth.
The predicted salary is between 43200 - 72000 £ per year.
A growing Insurer is seeking a Data Architect to join them on a contract basis. They are undergoing a major data transformation including implementing a new data strategy, future state and a new cloud-based data solution to support the workflow applications.
The role will be reporting into the Head of Data and involve:
- Understanding the data flows and spotting data opportunities to front-load data capture and where AI can provide structured data from the unstructured.
- Identifying any data quality issues.
- Flagging any data repositories.
- Understanding where they have manual touchpoints in the process.
- Improving data lineage from the high level process maps.
We are seeking an experienced Data Architect, ideally with insurance industry experience. The role is outside IR35 for an initial 6 months and hybrid working. If interested please apply.
Data Architect in England employer: JSS Transform
Contact Detail:
JSS Transform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data sectors. Let them know you're on the lookout for a Data Architect role. You never know who might have the inside scoop on opportunities!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data transformation and cloud solutions. This will give you an edge when discussing your fit for the role.
✨Tip Number 3
Ace the interview! Research the company’s current data strategy and think about how you can contribute. Be ready to discuss how you've tackled data quality issues and improved data lineage in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Architect in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data transformation and cloud-based solutions, as well as any relevant insurance industry experience. We want to see how you can contribute to our data strategy!
Showcase Your Skills: In your application, don’t just list your skills—show us how you've used them in real-world scenarios. Talk about specific projects where you improved data quality or identified data opportunities. This helps us see your practical experience!
Be Clear and Concise: When writing your cover letter, keep it clear and concise. We appreciate straightforward communication, so get to the point while still showcasing your passion for the role and the impact you can make at StudySmarter.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us. We’re excited to hear from you!
How to prepare for a job interview at JSS Transform
✨Know Your Data Inside Out
Make sure you understand the data flows and architecture relevant to the insurance industry. Brush up on how data strategies are implemented and be ready to discuss your experience with cloud-based solutions.
✨Spotting Opportunities is Key
Prepare examples of how you've identified data opportunities in past roles. Think about how AI can enhance data capture and be ready to share specific instances where you've successfully improved data quality.
✨Be Ready to Discuss Data Quality
Familiarise yourself with common data quality issues and how to flag them. Have a few strategies in mind for improving data lineage and be prepared to explain your thought process during the interview.
✨Understand the Manual Touchpoints
Reflect on your previous experiences where manual processes were involved. Be ready to discuss how you’ve streamlined these touchpoints and what impact it had on overall data management.