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- Tasks: Lead the creation of a shared data model across global divisions and drive data integration.
- Company: Prestigious wealth management organisation with a focus on innovation.
- Benefits: Competitive salary, excellent bonus, and comprehensive benefits package.
- Why this job: Shape enterprise-scale data strategies and influence multiple business lines.
- Qualifications: 10+ years in data roles with experience in financial services and modern data tools.
- Other info: High visibility role with strong growth opportunities in a dynamic environment.
The predicted salary is between 72000 - 108000 £ per year.
Talented Data Platform Lead is sought by a prestigious wealth management organisation. You will play a pivotal role in shaping a shared enterprise data model across multiple business divisions and regions.
This role goes beyond traditional data engineering. It requires someone who can bridge deep technical expertise with strong commercial awareness, working closely with senior business stakeholders to align data initiatives with an overarching data strategy.
You will help guide the integration of data across multiple divisions and geographies, driving consistency, clarity, and long-term value from complex and often fragmented data landscapes.
Key Responsibilities:- Lead and shape the definition of a shared data model across wealth and asset management divisions
- Guide the integration of data from multiple systems into a unified, enterprise-wide model
- Work closely with regional data and AI leads (UK, France, Switzerland) to ensure local initiatives align with the global data strategy
- Partner with business stakeholders to understand requirements, define data concepts, and build alignment across differing viewpoints
- Perform gap analysis on existing data models and pipelines to identify issues, risks, and opportunities
- Lead data model decisions, propose initial structures, and evolve them collaboratively
- Build and contribute to high-quality data products that support reporting, analytics, and strategic initiatives
- Balance hands-on technical contribution with leadership, influence, and stakeholder management
- 10+ years' experience in data, analytics, or data engineering roles
- Broad exposure to modern data engineering tools and architectures (e.g. Azure Data Factory, Databricks, lakehouse or data warehousing patterns)
- Background in wealth management, asset management, or broader financial services
- Proven delivery of enterprise-scale data initiatives across multiple business divisions
- Strong experience designing and evolving shared enterprise data models
- Demonstrated ability to reconcile data from multiple disparate systems into a unified model
- Hands-on experience building modern, cloud-based data platforms and data products
- Confident working directly with business stakeholders to define data requirements and resolve ambiguity
- Opportunity to shape a greenfield and evolving shared data model at enterprise scale
- High visibility role with influence across multiple regions and business lines
- A chance to move beyond pure delivery into strategic data leadership
- Strong scope for internal growth and progression as the data function matures
For a full consultation on this exciting new role, please get in touch with Arc IT today!
Data Platform Lead in City of London employer: ARC IT Recruitment Ltd
Contact Detail:
ARC IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Lead in City of London
✨Tip Number 1
Network like a pro! Reach out to connections in the wealth management 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 experience with data models and cloud-based platforms. Share case studies or projects that demonstrate your ability to bridge technical skills with business needs. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by understanding the company’s data strategy. Research their current data initiatives and think about how your experience aligns with their goals. This will help you engage in meaningful conversations with senior stakeholders during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that dream job!
We think you need these skills to ace Data Platform Lead in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Platform Lead role. Highlight your experience in data engineering and any relevant projects you've led, especially those that showcase your ability to bridge technical expertise with commercial awareness.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific examples of how you've shaped data models or integrated data across divisions, and don’t forget to express your enthusiasm for the opportunity at StudySmarter.
Showcase Your Technical Skills: Since this role requires deep technical knowledge, make sure to list your proficiency with modern data engineering tools like Azure Data Factory and Databricks. If you’ve worked on enterprise-scale data initiatives, be sure to include that too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at ARC IT Recruitment Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering tools and architectures, especially those mentioned in the job description like Azure Data Factory and Databricks. Be ready to discuss how you've used these technologies in past roles and how they can be applied to shape a shared enterprise data model.
✨Understand the Business Landscape
Since this role requires bridging technical expertise with commercial awareness, take time to research the wealth and asset management sectors. Familiarise yourself with common challenges these industries face regarding data integration and how your experience can help address them.
✨Prepare for Stakeholder Scenarios
Expect questions about how you’ve worked with business stakeholders in the past. Prepare examples that showcase your ability to understand their requirements, resolve ambiguities, and align differing viewpoints. This will demonstrate your capability to partner effectively across divisions.
✨Showcase Your Leadership Skills
This role involves leading data model decisions and guiding integration efforts. Be prepared to discuss your leadership style and provide examples of how you've influenced teams or projects in previous positions. Highlight your experience in balancing hands-on contributions with strategic oversight.
