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- Tasks: Lead the design of data models for transformative insurance projects and engage with senior stakeholders.
- Company: A leading global consultancy with a focus on Data & AI in the Insurance sector.
- Benefits: Competitive salary up to £110,000, discretionary bonus, and hybrid working options.
- Other info: Opportunity to mentor junior talent and work with cutting-edge data platforms.
- Why this job: Shape data strategy and drive impactful transformations in a diverse and inclusive environment.
- Qualifications: Strong consulting background and expertise in data modelling and insurance domains.
The predicted salary is between 110000 - 110000 £ per year.
A leading global consultancy is seeking an experienced Data Modelling Lead to join its growing Data & AI practice supporting major Insurance clients. This is a senior leadership position where you will shape data design, lead teams, engage executive stakeholders, and drive the development of data and analytics capabilities for enterprise-scale transformation programmes. You will be at the forefront of designing domain-oriented, business-facing data models that underpin advanced analytics, AI solutions, enterprise data strategies, and major modernisation programmes across the Insurance sector.
Key Responsibilities
- Lead the design and delivery of business-facing data models for Insurance transformation initiatives.
- Conduct workshops and analyse business/technical environments to derive insights and guide data architecture decisions.
- Define and contribute to end-to-end data and analytics architectures.
- Shape strategic roadmaps for Data & AI capabilities and large-scale data modernisation.
- Build and manage high-performing, multi-disciplinary data design teams.
- Lead stakeholder engagement at senior level, providing clear and strategic communication.
- Contribute to pre-sales, proposals and thought leadership for data strategy and architecture offerings.
- Support capability development across the practice, including training, coaching and mentoring team members.
Essential Experience & Skills
- Strong consulting background with experience leading client-facing projects.
- Significant expertise in Insurance functional domains.
- Deep knowledge of data modelling, data management, data architecture and enterprise data design principles.
- Experience designing data models, taxonomies, data dictionaries or ontologies.
- Demonstrated ability to engage both technical and business stakeholders to define requirements and outcomes.
- Experience collaborating with solution/data architects across global teams and business units.
- Strong leadership skills with the ability to nurture and develop junior talent.
- Familiarity with key data modelling tools and architecture frameworks.
Why Join
- Lead high-impact data transformation programmes across the Insurance industry.
- Work with top-tier clients and cutting-edge data platforms.
- Be part of a diverse, inclusive, and highly skilled Data & AI community.
- Shape data strategy at enterprise level and influence major business outcomes.
- Salary up to £110,000
- Discretionary Bonus
- Hybrid working
- And more.
Lead Data Modeller in England employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Modeller in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with others, the better your chances of landing that Lead Data Modeller role.
✨Showcase Your Expertise
When you get the chance to chat with potential employers, don’t hold back! Share your insights on data modelling and how you've led successful projects in the past. This is your time to shine and show them what you can bring to the table.
✨Prepare for Interviews
Do your homework before interviews! Research the company’s data strategies and think about how your experience aligns with their needs. Be ready to discuss specific examples of how you've shaped data design and led teams in previous roles.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a better chance of being noticed by our hiring team. Let’s get you that dream job!
We think you need these skills to ace Lead Data Modeller in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Modeller. Highlight your experience in data modelling and any relevant projects you've led, especially in the Insurance sector. 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 and how your leadership experience can drive our Data & AI practice forward. Be sure to mention specific achievements that demonstrate your expertise.
Showcase Your Stakeholder Engagement Skills: Since this role involves engaging with senior stakeholders, make sure to highlight your communication skills. Share examples of how you've successfully navigated complex discussions and influenced decision-making in 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 Jefferson Frank
✨Know Your Data Inside Out
Make sure you’re well-versed in data modelling principles and the specific tools mentioned in the job description. Brush up on your knowledge of data architecture and enterprise data design, as you'll need to demonstrate your expertise during the interview.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and engaging with senior stakeholders. Think about times when you’ve successfully managed projects or mentored junior team members, as these stories will showcase your leadership capabilities.
✨Understand the Insurance Sector
Since this role focuses on the Insurance industry, do your homework! Familiarise yourself with current trends, challenges, and innovations in insurance data management. This will help you speak confidently about how you can contribute to their transformation initiatives.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills and ability to engage with both technical and business stakeholders. Practice articulating your thought process clearly, as this will demonstrate your strategic thinking and communication skills.