In good company.
Hamilton (NYSE: HG) underwrites specialty insurance and reinsurance risks on a global basis through its wholly owned subsidiaries. Its three underwriting platforms: Hamilton Global Specialty, Hamilton Select and Hamilton Re, each with dedicated and experienced leadership, provide access to diversified and profitable business around the world.
Headquartered in Bermuda, Hamilton has over 550 employees with key underwriting operations in London, Bermuda, the US and Dublin. We work collaboratively, we share a passion for the service and results we deliver, and we know that what we do each day is meaningful - to our customers and our business. We believe we are 'In good company.' with everyone we interact with.
We're looking for a
Global Data Architect
Based in the US and reporting to the SVP, Software Engineering, the Global Data Architect will be responsible for defining, managing, and evolving the enterprise data architecture strategy, standards, and frameworks on a global scale.
This role oversees data governance, architecture and design, integration and AI capabilities to support advanced analytics, and data management practices to ensure that data supports business goals, regulatory compliance, and analytics needs across the organization.
Familiarity with insurance and reinsurance domain is highly valued, enabling the architect to design solutions that support complex industry-specific data requirements as well as collaborate with cross-functional teams to build robust, scalable, and secure infrastructures that drive business intelligence and digital transformation initiatives globally.
This position is based in the US, with preference given to those candidates located in the Easten US time zone to accommodate global time differences.
Hamilton Insurance Group, Ltd. is a Bermuda-headquartered company that underwrites specialty insurance and reinsurance risks on a global basis through its wholly owned subsidiaries.
What you will do
Data Strategy and Architecture Design
Define the global data architecture strategy, define current versus target state architecture, ensuring alignment with business and IT objectives
Develop and maintain data models, data flows, and architecture blueprints that meet current and future data needs, especially for insurance and reinsurance applications
Establish Enterprise Architecture (EA) best practices and oversee data architecture standards, guidelines across the organization
Data Integration and Management
Design and implement data integration processes across multiple systems, databases, and cloud environments
Design and implement data architectures leveraging Microsoft Azure and Fabric to integrate data sources, enable data sharing, and streamline analytics processes
Utilize Fabric's capabilities in data lakehouse, real-time data integration, and analytics to support underwriting, claims processing, and actuarial models.
Train teams on best practices within Microsoft Fabric to maximize the platform's potential and align with organizational data strategies
Domain-Specific Data Management
Implement data models and data structures to support insurance and reinsurance data flows, including underwriting, claims, policy administration, and pricing models
Collaborate with actuarial, claims, and underwriting teams to ensure that data solutions align with industry-specific requirements, regulations, and business objectives
Create solutions that support complex calculations, historical tracking, and data audits specific to the insurance and reinsurance fields
Collaboration and Stakeholder Engagement
Partner with key stakeholders (e.g., business units, data engineers, actuaries, and C-suite executives) to understand business requirements and translate them into data solutions
Act as a liaison between technical teams and business users in underwriting, claims, and actuarial departments to facilitate data-driven decision-making
Innovation and Emerging Technologies
Stay abreast of emerging data technologies, architectures, and trends, particularly those affecting the insurance industry (e.g., predictive modeling, AI-driven underwriting, regulatory compliance)
Evaluate new tools and technologies, especially within the Microsoft ecosystem, for potential adoption within the organization
Promote continuous improvement by adopting new methodologies and data capabilities that enhance data analytics and business intelligence
Data Quality and Performance Monitoring
Implement data quality controls and standards to ensure data accuracy and consistency
Monitor data architecture performance, identifying opportunities to optimize and scale data infrastructure
Conduct periodic audits of data structures and ensure optimization for performance and reliability
What you require for the role
Strong demonstrable experience in data architecture, data engineering, or database management roles, with at least 3 years in a senior or lead position overseeing global data initiatives
Familiarity with insurance and reinsurance processes, including underwriting, claims, accounting, and pricing models, is a significant advantage
Expertise in data modeling, database management, ETL tools, cloud platforms (AWS, Azure, GCP), Microsoft Fabric, and BI platforms
Strong analytical, communication, and problem-solving skills with the ability to work across cultures and regions, with excellent stakeholder management
Strategic vision with a practical approach to data management
Deep knowledge of data privacy, security, and compliance in an international context
Proficiency in designing scalable and sustainable data architectures with Microsoft Azure and Fabric
Ability to manage data as an asset and align it with organizational goals
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field
What you can expect from us
We offer a vibrant, entrepreneurial, and collaborative culture guided by our values: Be Smart, Be Sensible, Be Open and Be More.
We know if we welcome and respect differences, we'll attract and retain talent that brings a valuable diversity of perspectives and experience. We want all our colleagues to feel that they can bring their whole selves to work at Hamilton and know that they can be part of building a great company.
Hamilton offers a competitive salary with an annual performance-based target bonus and a comprehensive benefits package, to include:
Hybrid working
Matching 401K plan
Medical, dental, vision, life, disability
Generous time off (including parental leave)
Continued support for professional development
Gym subsidy
My day (additional days leave for personal interests/wellness/charity work)
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