At a Glance
- Tasks: Define finance data architecture and lead design authority across data frameworks.
- Company: Leading Professional Services firm with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on stakeholder management.
- Why this job: Shape the future of finance data with AI and make a real impact.
- Qualifications: Strong experience in enterprise architecture and insurance finance data.
The predicted salary is between 80000 - 100000 € per year.
A leading Professional Services firm is looking to hire a Lead Finance Data Architect to join their team. You will define target Finance Data architecture, data models and flows aligned to enterprise data strategy and CDT standards. You will also act as primary interface with CDT to ensure platform readiness and architectural alignment and lead design authority across data, analytics and reconciliation frameworks. You will also embed AI into data architecture.
KEY REQUIREMENTS:
- Strong Enterprise Architecture experience in regulated environments
- Deep expertise in insurance finance data is essential
- Strong stakeholder management skills are vital
- Strong understanding of AI applications in finance is a necessity
- London Market Insurance experience is essential
- Be able to work independently and as part of a team.
Lead Finance Data Architect employer: HFG
As a leading Professional Services firm, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from comprehensive growth opportunities, including access to cutting-edge training and development programmes, all while working in the vibrant city of London. Join us to be part of a forward-thinking team that values your expertise and empowers you to make a meaningful impact in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Finance Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and insurance sectors. Attend industry events or webinars to meet potential employers and showcase your expertise in finance data architecture.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI applications in finance. Be ready to discuss how you can embed AI into data architecture, as this is a hot topic in the industry right now.
✨Tip Number 3
Showcase your stakeholder management skills during interviews. Share examples of how you've successfully navigated complex projects and collaborated with various teams to achieve results.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Finance Data Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Finance Data Architect role. Highlight your experience in enterprise architecture and insurance finance data, as these are key requirements for us.
Showcase Your Skills:Don’t forget to showcase your stakeholder management skills and understanding of AI applications in finance. We want to see how you can bring these skills to the table!
Be Clear and Concise:When writing your application, be clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences.
Apply Through Our Website:Finally, make sure to apply through our website. It’s the best way for us to receive your application and ensures you’re considered for the role!
How to prepare for a job interview at HFG
✨Know Your Data Inside Out
Make sure you have a solid grasp of finance data architecture, especially in regulated environments. Brush up on your knowledge of insurance finance data and be ready to discuss how you've applied this expertise in previous roles.
✨Showcase Your Stakeholder Skills
Prepare examples that highlight your stakeholder management skills. Think about times when you successfully navigated complex relationships or led discussions with various teams, particularly in the context of data architecture and analytics.
✨AI Applications Are Key
Since AI integration is crucial for this role, be prepared to talk about your understanding of AI applications in finance. Bring specific examples of how you've embedded AI into data architecture or improved processes using AI technologies.
✨Demonstrate Teamwork and Independence
This position requires both independent work and collaboration. Be ready to share instances where you've thrived in both settings. Highlight projects where you took the lead as well as those where you contributed as part of a team.
