At a Glance
- Tasks: Lead data architecture strategy and oversee data governance for a digitised business.
- Company: Aspen Insurance is a top-tier specialty insurance and reinsurance company since 2002.
- Benefits: Enjoy a hybrid work model, career development opportunities, and a supportive team culture.
- Why this job: Join a dynamic team driving innovation in data solutions and AI technology.
- Qualifications: Experience in data architecture, knowledge of TOGAF, and understanding of the insurance industry required.
- Other info: Aspen values diversity and inclusivity, welcoming applicants from all backgrounds.
The predicted salary is between 48000 - 84000 £ per year.
Select how often (in days) to receive an alert: Date: Jul 8, 2025 Location: London, GB, EC3M 3BD Company: Aspen Insurance Since Aspen was founded in 2002, we have become a leading, diversified specialty insurance and reinsurance company. We respond thoughtfully and creatively to find the best outcomes for our clients and business partners through carefully-tailored solutions. We believe the way we work is just as important as the work we do, and we are guided by our core values of respect, honesty, trust and professionalism. Aspen is a great place to develop your career offering an exciting and challenging environment where achievement is rewarded. The Role The Role We are recruiting for an Enterprise Data Architect to join us! Operating within Enterprise Architecture team, own and drive the data architecture strategy leading our transition to a data-driven, digitised underwriting and claims business Defining and evolving data architecture to support operational, analytical, and AI-driven initiatives Overseeing data governance and compliance, ensuring adherence to industry regulations and best practices for data management (including MDM), data sharing and data access Providing the designs of data ingestion, storage, and movement across operational systems, data lakes, AI and analytics platforms Collaborating with business and technology teams to align data strategies with company goals regarding modelling, integration standards and aligning to master data standards Ensuring data security and privacy, implementing robust protection measures Driving innovation in data solutions, including AI and automation. Mentoring and guiding data architects, ensuring adherence to architectural principles Drive consistency in data language and modelling Our Aspen Values are expected to be reflected in the delivery and performance of every role. Key Accountabilities Responsible for defining and maintaining the Data Architecture strategic roadmap and landscape diagram that plots how the data analytics and AI technology estate will transition over three years Responsible for future watch by scanning emerging technologies and the business ecosystem for major disruptive technology and non-technology trends (trendspotting) that affect business and data architecture outcomes Act as front door for data modelling from squads and to chair the data modelling design authority To chair the data architecture forum and lead the standardisation of data architect deliverables via auditable process and governance Own the data mapping and lineage of system of records to our single version of truth data model Own the design for our Single version of truth analytical platform from Azure cloud technology to the data models designs Drive the strategy and design for our Master Data Management, Data Quality and data integration solutions Enforce standard deliverables in Profisee and LeanIX for Data Architecture outcomes (data flow diagrams, reporting architecture roadmaps per domain, data models) May manage and support graduates, consultants and contractors Assists in maintaining existing relationships with internal and external stakeholders to ensure that service delivery meets colleague expectations Regular one-to-one meetings with team members Skilled, capable, and competent team members who receive positive feedback All direct reports have a quality personal development plan Knowledge, Skills & Experience Good knowledge of TOGAF or other EA Delivery processes (preferably with formal certification) – supported by domain specific knowledge and certification e.g. SABSA for Security Detailed knowledge of the insurance domain industry Deep understanding of the architecture discipline, processes, concepts, and best practices for designing Data Lakes and Warehouses for analytics and the integration strategy in a cloud environment Good understanding of strategic and emerging technology trends, and the practical application of existing and emerging technologies to new and evolving business and operating models Good understanding of domain information Models for insurance, ACORD, OMG etc and applying this into the designs for data within the organisation Skilled at influencing, guiding and facilitating stakeholders and peers with decision making Ability to articulate new ideas and concepts to technical and nontechnical audiences Ability to understand the long-term (\”big picture\”) and short-term perspectives of situations Technology neutral: remains unbiased toward any specific technology or vendor choice and is more interested in results than personal preferences Previously held leadership roles in architecture – delivering presentations to senior-level executives and technical audiences At Aspen we know that having a diverse and inclusive workforce is good for our people, good for our business and good for the environments in which we operate. We therefore welcome applications from people which allows us to draw on diverse cultures, perspectives, skills and experiences. #J-18808-Ljbffr
Data Enterprise Architect -Data Architect- Hybrid employer: Aspen Group
Contact Detail:
Aspen Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Enterprise Architect -Data Architect- Hybrid
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture and cloud technologies, especially those relevant to the insurance industry. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your commitment to staying updated.
✨Tip Number 2
Network with professionals in the data architecture field, particularly those who work in insurance or similar sectors. Attend industry events or join online forums to connect with potential colleagues and learn about their experiences at companies like Aspen.
✨Tip Number 3
Prepare to discuss specific examples of how you've implemented data governance and compliance measures in previous roles. Being able to articulate your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Showcase your leadership skills by preparing to discuss how you've mentored others in the past. Aspen values collaboration and guidance, so highlighting your ability to lead teams effectively will resonate well with them.
We think you need these skills to ace Data Enterprise Architect -Data Architect- Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, especially in the insurance domain. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of Aspen's values and how your skills align with their mission. Mention specific projects or experiences that relate to data governance and AI-driven initiatives.
Showcase Technical Skills: In your application, emphasise your knowledge of TOGAF, data lakes, and cloud environments. Provide examples of how you've applied these skills in previous roles to drive innovation and compliance.
Highlight Leadership Experience: If you have held leadership roles in architecture, make sure to mention them. Discuss your experience in mentoring teams and leading discussions on data modelling and architecture standards.
How to prepare for a job interview at Aspen Group
✨Understand the Company Values
Aspen Insurance places a strong emphasis on respect, honesty, trust, and professionalism. Make sure to reflect these values in your responses and demonstrate how you align with them during the interview.
✨Showcase Your Technical Expertise
Be prepared to discuss your knowledge of data architecture, especially in relation to cloud environments and data governance. Highlight any relevant certifications, such as TOGAF or SABSA, and provide examples of how you've applied this knowledge in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to drive innovation in data solutions. Think of specific scenarios where you've successfully implemented data strategies or led teams in achieving data-driven outcomes.
✨Demonstrate Leadership and Mentoring Skills
Since the role involves mentoring other data architects, be ready to discuss your leadership experience. Share examples of how you've guided teams, facilitated decision-making, and contributed to the professional development of your colleagues.