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- Tasks: Design innovative data models and integrate systems for a leading London Market broker.
- Company: Forward-thinking organisation transforming data flow in the insurance sector.
- Benefits: Competitive day rate of £700, flexible work environment, and hands-on experience with AI technologies.
- Other info: 6-month contract with excellent opportunities for professional growth.
- Why this job: Join a high-profile transformation project and make a real impact in the London Market.
- Qualifications: Proven Data Architect experience in the London Market and strong stakeholder engagement skills.
Please note - this role will require you to work from the Central London office 2-3 days per week. You must be UK based with the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship.
I am working with my London Market broker client, a forward‑thinking organisation modernising how data flows across the insurance value chain. This role sits at the heart of a high-profile broker‑side transformation, combining deep London Market expertise with modern data and emerging AI capabilities.
The Opportunity
My London Market broker client is undertaking a strategic data initiative to design a future‑state broker data model and clearly define how data integrates across core market and internal systems. The work will directly underpin new digital and AI‑enabled capabilities, enabling the broker to offer the London Market something genuinely new in terms of insight, automation, and decision‑making.
This is a hands‑on architecture role requiring strong engagement with business stakeholders, technology teams, and delivery partners.
Key Responsibilities
- Design and define a broker‑centric canonical data model for the London Market
- Map and document data integration flows across broker platforms and market systems (e.g. policy, placement, claims, bordereaux)
- Work closely with business, underwriting, and placement stakeholders to align data structures with real‑world broker processes
- Define clear data ownership, semantics, and quality standards
- Support integration patterns and architectural decisions across legacy and modern platforms
- Enable downstream AI and advanced analytics use cases by ensuring data is structured, accessible, and fit for purpose
- Collaborate with engineering and delivery teams to ensure the model is practical, implementable, and scalable
Required Experience
- Proven Data Architect experience within the London Market insurance ecosystem
- Strong understanding of broker operations and market interactions
- Hands‑on experience creating enterprise or domain data models
- Experience defining data integration approaches across multiple systems
- Comfortable working in complex, multi‑stakeholder environments
- Able to translate between business requirements and technical design
- Experience supporting modern data platforms (cloud, APIs, event‑driven or integration layers)
Highly Desirable
- Experience working with emerging AI technologies, advanced analytics, or data products
- Familiarity with London Market modernisation initiatives and digital market infrastructure
- Experience operating in transformation or change programmes
This is a 6 month engagement which offers a day rate of £700/pd Outside IR35.
To apply for this role please submit your CV or contact David Airey.
Contract Data Architect - London Market - £700/pd employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Architect - London Market - £700/pd
✨Tip Number 1
Network like a pro! Reach out to your connections in the London Market and let them know you're on the hunt for a Contract Data Architect role. You never know who might have the inside scoop on opportunities or can put in a good word for you.
✨Tip Number 2
Get your LinkedIn game on point! Make sure your profile highlights your experience in data architecture and the London Market. Engage with relevant content and connect with industry leaders to increase your visibility.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of broker operations and data integration. Be ready to discuss how you've tackled similar challenges in the past and how you can contribute to the transformation initiatives.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Contract Data Architect - London Market - £700/pd
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Contract Data Architect. Highlight your experience in the London Market and any relevant data architecture projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Experience: When detailing your past roles, focus on your hands-on experience with data models and integration flows. Use specific examples that demonstrate your understanding of broker operations and how you've contributed to similar transformation initiatives.
Be Clear and Concise: Keep your application straightforward and to the point. Avoid jargon unless it's relevant to the role. We appreciate clarity, so make it easy for us to see why you're a great fit for this position!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Jefferson Frank
✨Know Your Data Inside Out
Make sure you have a solid grasp of data architecture principles, especially within the London Market. Brush up on your knowledge of broker operations and how data flows through various systems. Being able to discuss specific examples from your past experience will show that you’re not just familiar with the concepts but can apply them practically.
✨Engage with Stakeholders
Since this role requires strong engagement with business stakeholders, practice articulating how you would collaborate with different teams. Prepare to discuss how you’ve successfully navigated complex stakeholder environments in the past, and think about how you can align data structures with real-world processes.
✨Showcase Your Hands-On Experience
This is a hands-on role, so be ready to talk about your direct experience in creating enterprise or domain data models. Highlight any projects where you’ve defined data integration approaches across multiple systems, and be prepared to explain your thought process and the outcomes of those projects.
✨Stay Ahead of the Curve
Familiarise yourself with emerging AI technologies and advanced analytics, as these are highly desirable for this position. Be ready to discuss how you’ve supported modern data platforms and any relevant transformation initiatives you've been part of. Showing that you’re proactive about industry trends will set you apart.