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- Tasks: Lead the design of data models and guide teams in transformative projects.
- Company: Global consultancy focused on high-impact data transformations in Insurance.
- Benefits: Up to £90k salary, hybrid work, bonuses, and market-leading training.
- Why this job: Shape the future of AI and analytics in the Insurance sector.
- Qualifications: Strong consulting experience and knowledge of core Insurance functions.
- Other info: Supportive culture with clear progression into leadership roles.
The predicted salary is between 72000 - 108000 £ per year.
I am partnered with a global consultancy delivering some of the highest-impact data transformations in the Insurance sector. They are investing heavily in Data Mesh, AI, advanced analytics and cloud modernisation and they are looking for a Lead Data Modeler to help shape the data foundations that make it all possible.
In this role, you will:
- Design business-aligned data models
- Lead senior stakeholder discussions
- Create Data & AI roadmaps
- Run workshops
- Guide multidisciplinary teams
- Contribute to major enterprise-level transformation programmes
You Will Work With:
- Analysing client environments and turning insights into robust data model designs
- Delivering clear, business-facing Insurance data models for transformation programmes
- Contributing to end-to-end data and solution architecture
- Creating Data & AI roadmaps and strategic recommendations
- Defining taxonomies, vocabularies and "common language for data" frameworks
- Leading stakeholder relationships at senior and executive levels
- Running workshops, defining requirements and reviewing outputs with business owners
- Managing and coaching multi-disciplinary delivery teams
- Supporting RFPs, proposals and wider go-to-market activity
Benefits:
- Up to £90k package
- Bonus + cash benefits included
- Hybrid working - 3 days onsite in London
- Market-leading training programmes and certifications (Data, AI, Cloud, Architecture)
- Clear progression into leadership and enterprise architecture roles
- Exposure to global Insurance clients and large-scale transformation
- Access to innovation labs, cross-functional teams and advanced AI tooling
- Supportive, diverse culture with a real focus on wellbeing and development
Key experience:
- Strong consulting experience in a client-facing role
- Deep knowledge of core Insurance functions (Underwriting, Claims, Pricing, Finance, Risk etc.)
- Proven experience building business-aligned data models
- Strong understanding of data management, MDM, reference data, analytics & BI
- Experience working with architects to build enterprise data solutions
- Strong workshop-facilitation skills and the ability to define requirements
- Experience leading and developing teams
- Confident communication with senior stakeholders
Ready to Take the Next Step? If you want to shape the data foundations powering the future of AI and analytics in the Insurance industry... Apply now or send your CV directly!
Lead Data Modeler employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Modeler
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your best data models and projects. Use platforms like LinkedIn to share insights and articles related to data modelling and AI in insurance. This will position you as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data modelling and insurance. Think about how you can demonstrate your experience with stakeholder management and workshop facilitation. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that Lead Data Modeler role!
We think you need these skills to ace Lead Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Modeler role. Highlight your experience in data modelling, consulting, and any relevant insurance knowledge. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data transformations in the insurance sector. Share specific examples of your past work that relate to the responsibilities outlined in the job description.
Showcase Your Stakeholder Skills: Since this role involves leading discussions with senior stakeholders, make sure to highlight your experience in managing relationships and facilitating workshops. We love seeing how you’ve successfully navigated these interactions in your previous roles!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Nigel Frank
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data modelling, especially in the insurance sector. Brush up on your knowledge of underwriting, claims, and pricing, as these will likely come up in discussions. Being able to speak confidently about how you can design business-aligned data models will impress your interviewers.
✨Showcase Your Consulting Skills
Since this role involves a lot of client interaction, be prepared to demonstrate your consulting experience. Think of examples where you've successfully led stakeholder discussions or facilitated workshops. Highlighting your ability to turn insights into actionable data model designs will set you apart.
✨Prepare for Senior Stakeholder Engagement
You’ll need to communicate effectively with senior stakeholders, so practice articulating complex data concepts in simple terms. Prepare scenarios where you’ve managed relationships at executive levels and how you navigated any challenges. This will show that you can handle the pressure of high-stakes conversations.
✨Emphasise Team Leadership and Development
As a Lead Data Modeler, you’ll be guiding multidisciplinary teams. Be ready to discuss your leadership style and how you’ve coached teams in the past. Share specific examples of how you’ve fostered collaboration and innovation within your teams, as this is crucial for the role.