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- Tasks: Lead the design and implementation of cyber data and analytics solutions.
- Company: Join AXA Group, a global leader in insurance and risk management.
- Benefits: Enjoy hybrid work options and a dynamic, innovative work culture.
- Why this job: Be at the forefront of AI and cyber analytics, making a real impact.
- Qualifications: Extensive experience in architecture roles, especially in cyber data strategy.
- Other info: Hands-on role with opportunities for professional growth and development.
The predicted salary is between 43200 - 72000 £ per year.
Data and Digital Job Type: 1-year FTC / Permanent Job Location: London, UK (Hybrid)
Role: Solution Architect – Cyber Data, Analytics and AI Architect Data and Digital
Below is the JD given by the client:
Cyber Insurance information – As we develop an enterprise-wide data and digital strategy focusing on data-driven insights, we seek a Data & Digital Solutions Architect specializing in Cyber Data, Analytics and AI Strategy. This role is hands-on and execution-focused, translating strategy into architecture and implementation. You will have a granular understanding of our data and analytical systems and serve as the organization’s data and digital architecture SME for Cyber Program projects.
The Cyber Data, Analytics and AI function within AXA Group Cyber CoE manages data and analytics related to cyber insurance globally, aiming to create top-tier cyber risk analytics and AI solutions across AXA entities.
We are looking for someone with the following qualifications, skills, and abilities:
- Extensive experience in relevant architecture roles, with expertise in insurance (especially cyber) data strategy and architecture.
- Experience with organizations operating multiple entities globally is preferred.
- Understanding of security committees like CIFIUS.
- Deep expertise in distributed, decentralized domain design supporting multi-entity architectures.
- Knowledge of data mesh concepts and federated governance approaches.
- Hands-on experience with:
- Azure cloud platform
- Big data technologies
- Machine Learning, AI, LLM applications in Cyber Data Analytics
- Messaging queues, streaming, event-driven architecture
- Unstructured data management
- O365 environment
- Container & Orchestration platforms
- Relational databases and SQL
- Microservices
- ETL/ELT technologies
- Data management and analytics
- Reference & Master Data Management
- Access control and security
Responsibilities include:
- Understanding user requirements and current environments to develop an architecture roadmap.
- Guiding the full lifecycle of solutions, translating business capabilities into technical solutions.
- Defining non-functional requirements and documenting solution interactions.
- Ensuring security by design, meeting all compliance and industry standards.
- Demonstrating tools, patterns, and security in lab environments as needed.
- Participating in defining adoption metrics and measuring solution success.
- Presenting architecture decisions and educating stakeholders.
- Acting as a strategic advisor and contributing to the development of strategic architecture.
- Communicating effectively across business lines and influencing decisions.
Solution Architect – Cyber Data, Analytics and AI Architect (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect – Cyber Data, Analytics and AI Architect (Basé à London)
✨Tip Number 1
Familiarise yourself with the latest trends in cyber data and analytics. Understanding current technologies and methodologies, such as data mesh concepts and federated governance, will help you stand out during discussions and interviews.
✨Tip Number 2
Network with professionals in the cyber insurance and data analytics fields. Attend industry events or webinars to connect with potential colleagues and learn more about the challenges they face, which can give you insights to discuss during your application process.
✨Tip Number 3
Prepare to demonstrate your hands-on experience with relevant technologies like Azure, big data tools, and machine learning applications. Be ready to share specific examples of how you've implemented these in past roles, as practical knowledge is crucial for this position.
✨Tip Number 4
Brush up on your communication and leadership skills. As a Solution Architect, you'll need to influence decisions across various business lines, so being able to articulate your ideas clearly and effectively will be key to your success in the role.
We think you need these skills to ace Solution Architect – Cyber Data, Analytics and AI Architect (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in architecture roles, particularly in cyber data strategy and analytics. Use specific examples that demonstrate your hands-on experience with relevant technologies like Azure, big data, and machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your understanding of the role and how your skills align with the responsibilities outlined in the job description. Mention your familiarity with Agile methodologies and your ability to communicate effectively across business lines.
Showcase Relevant Projects: If you have worked on projects related to cyber insurance or data analytics, be sure to include these in your application. Detail your role, the technologies used, and the outcomes achieved to demonstrate your capability in this area.
Highlight Soft Skills: Don't forget to mention your leadership and problem-solving skills. These are crucial for the role, so provide examples of how you've successfully led teams or solved complex issues in previous positions.
How to prepare for a job interview at Golden Bees
✨Showcase Your Technical Expertise
Make sure to highlight your hands-on experience with relevant technologies such as Azure, big data, and machine learning. Be prepared to discuss specific projects where you've successfully implemented these technologies in a cyber data context.
✨Understand the Business Context
Demonstrate your understanding of how cyber insurance operates and the importance of data-driven insights in this field. Research the company’s current strategies and be ready to discuss how your skills can align with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to design solutions under constraints and be ready to explain your thought process.
✨Communicate Clearly and Confidently
Effective communication is key, especially when discussing complex technical concepts. Practice explaining your ideas in a way that is accessible to non-technical stakeholders, as this will demonstrate your ability to influence decisions across business lines.
