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 work pattern for this job is Hybrid

The minimum and maximum salaries for this job role are below:

Minimum Salary - 147,200.00

Maximum Salary - 184,000.00

The Role:

• Primary focus is utilizing your extensive insurance domain and data architecture experience, defining the target data architecture of Aspen strategic initiatives, stewardship of data solution designs, defining data domain strategic roadmaps reflected in their data lineage maps and defining data architecture policy and outcomes across the insurance value chain (e.g. Insurance, Pricing, Finance, HR, Data, Security, Infrastructure, etc.).
• In doing so, the enterprise data architect must:
• Operating within Enterprise Architecture team, own and drive the data architecture strategy leading our transition to a data-driven, digitized 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
• Developing, maintaining, and standardizing data models that support business processes, analytics, and AI-driven decision-making.
• Ensuring consistency across data structures, defining relationships between different entities within the insurance ecosystem.
• Optimizing database design for scalability, ensuring efficient querying and storage.
• Standardizing data definitions to improve interoperability across platforms.
• Guiding data modelling best practices within engineering and analytics teams.

As required the Enterprise Data Architect may be asked to stand in for the Head of Enterprise Architecture. Our Aspen Values are expected to be reflected in the delivery and performance of every role.

Key Accountabilities:

1. 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.

• Act as front door for data modelling from squads and to chair the data modelling design authority.

1. To chair the data architecture forum and lead the standardization 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.
• Maintains regular contact with Domain executive sponsors as their business partner and trusted data technology advisors.
• Research and model each business domain and hence enabling technologies to create and share data.
• Identify use cases, drivers, expected benefits, pain-points that are important to domain stakeholders.
• 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.
• If managing team members, then
  • Manage, resource, motivate, develop, and focus on the team members(s) to ensure the required standards of performance and support the continuing personal and professional development of all team members.
  • Manage appointments, dismissal, performance management and reward of the team(s) to effectively manage resources within the function.
  • Establish clear accountabilities and authority levels for direct reports and build a strong culture of accountability and performance to ensure delivery of goal.

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.
• 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 organization
• 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
• Strong understanding of underlying needs of the business and how own role contributes to these.
• Organizationally savvy, with the ability to navigate organizational politics.
• 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.
• Ability to translate future-state business capabilities and requirements into architecture requirements.
• Ability to propose and estimate the financial impact of solution architecture alternatives.
• Ability to work creatively and analytically to solve business problems and propose solutions.
• Ability to quickly comprehend the functions and capabilities of new technologies.
• Knowledge of financial models and budgeting.
• Technology is neutral: remains unbiased toward any specific technology or vendor choice and is more interested in results than personal preferences.
• Displays intellectual curiosity and integrity.
• Motivated and driven by achieving long-term business outcomes.
• At least 10 years in data architecture and delivery roles – embedding architecture outputs and designs that drive the data strategy maturity across the company.
• Ideally held leadership roles in architecture - delivering presentations to senior-level executives and technical audiences.
• Ideally, a fair proportion of experience in business analysis or business architecture.
• Specific professional qualifications at the level of degree or equivalent (e.g., computer science, management of information systems or similar).
• Deep subject matter expertise in the assigned business domain with good working knowledge of data, integrations and infrastructure.

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.