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    Insurance Data Architect - London, United Kingdom - Philpar

    Philpar
    Philpar London, United Kingdom

    1 week ago

    Default job background
    Description
    Working on the latest tech for the Insurtech Market Leader

    At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.

    We are a leading global no-code insurance platform for health, life, and P&C
    We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
    We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
    We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world

    We are looking for a Data Architect to define and own the Data Models that underpin the policy administration applications.

    The successful candidate will have a strong data architecture background with experience in building out conceptual, logical and physical data models.

    The candidate will come from an insurance industry or insurance application vendor background with exposure data modeling across multiple lines of business in the insurance vertical.

    The candidate must be familiar with domain driven design concepts for data modeling and designing physical data models for a NoSQL database engine (MongoDB in our case).

    Establish a complete holistic approach and understanding of Data Governance to the enterprise. Alignment to an understanding of Data Sovereignty, regulatory, legislative and best practice. Ownership of the Data Architecture across all the domains within the CoverGo application set
    Ownership of the internal and external facing Data Model Information and Documentation
    Definition and ownership of the Data Architecture principles and design guidelines
    Design of the Data Architecture Models (Conceptual, Logical and Physical) across all areas of the platform
    Governance of the Data Models developed by the project teams to ensure they meet the Data Architecture principles and design guidelines
    Ownership of the Central Data Dictionary and Central Data Model components that underpin all areas of the applications
    Implement and maintain best practices in data architecture
    Define and manage the approach to Data Migration (Import and Export) for customers moving data to/from the CoverGo eco-system
    Ensure the base data models are designed to be easily extendable by partners in a controlled manner
    Work closely with the Integration Architect to ensure the data models meet the needs of the business process API's
    Work closely with the product and delivery teams to understand and prioritise the data architecture needs of our product domains and our customers
    Ensure flexibility and scalability of our Data Architecture to meet a growing customer base
    Stay up-to-date with emerging technologies and trends in the insurance industries from a data architecture perspective
    In the medium term (~1 year) establish the enterprise Business Intelligence, Analytics & Modeling as key business assets and enable the delivery of reusable value to the organization together with data integrity via best practice transformation processes
    At least 10 years of professional experience in data architecture design and delivery with a focus on financial services and at least 5 years directly in the insurance industry with exposure to multiple lines of business
    Proven experience in designing and managing complex data models in a NoSQL environment
    Strong architecture experience in designing efficient and business focused data models in a DDD environment
    Proven experience in delivering high-quality data architecture approaches & solutions in an enterprise environment that meets product and customer needs
    Knowledge of enterprise architecture, systems architecture, integration architecture and data architecture standards, frameworks, and practices
    An interest in staying hands-on technical as well as wearing the data architects hat
    Exposure to database engines for relational, graph, key-value products would be a distinct advantage
    Globally Remote Work Opportunity
    Local time zone office hours, work by your schedule
    Share Option Plan
    Company Performance Bonus
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