Technical Data Specialist

Introduction

Global Speciality Insurance (GSI) is a grouping of insurance entities across the UK and North America this is part of the larger Munich RE organization. We are seeking to recruit a data specialist primarily to support within the Bell and Clements (B&C) entity. Bell & Clements offers expertise in underwriting, broking and capacity management provisions for Excess and Surplus (E&S) lines insurance solutions. The unique combination of broking and underwriting divisions provides the ability to quote and bind risks through inhouse binding authorities, while providing customers with access to Lloyd’s, US and international markets. B&C was acquired by Munich RE in 2007 and is a registered Lloyd’s broker.

This role is part of the GSI Business Solutions, Data & Analytics organization reporting into the Head of Data Solutions Architecture.

Purpose of the Position

The qualified candidate will be primarily responsible for supporting the mission critical databases that enable B&C to conduct its’ processing. You will closely partner with the Software Engineering, Data Analyst, and Architecture teams together along with local Senior Technology leadership.

We are looking for a Data Specialist with a multi-faceted skillset that has proven experience with migrating data systems into the cloud. An Azure based background is essential for this aspect of the role. In addition, your knowledge of Microsoft based systems Database administration, data architecture, support operations, and infrastructure responsibilities will be critical to support the B&C environments as well as other opportunities across the many businesses within GSI as the team you work for supports all of the GSI Insurance entities for data needs.

Primary responsibility for operational uptime of databases used by the Bell & Clements Group. Support data solution architects in designing architecture solutions that are in line with long-term business objectives Developing data management projects that move a company closer to its future goals Support the design of data infrastructure that supports complex data analytics services Providing technical leadership and direction on data infrastructure architecture for the Software Engineering and Data Analytics teams Collaborate with the Software Engineering and Data Analytics teams to analyse, identify, design and implement processes and continuously support/improve them Building effective relationships with senior technical staff so that there is a common understanding of goals and challenges Meeting with clients, peers, data solution architects, or executive team members to engage in architectural and requirement analysis discussions Creating documentation that captures key data entities and creating an inventory of the data needed to implement solutions Translating business requirements into databases, data warehouses, and data streams Analysing, planning, and defining data architecture framework, including security, reference data, metadata, and master data Helping to maintain the integrity and security of the company’s database Partner with technical peers to provide technical thought leadership on high Level Architecture and Design, data modelling, Data strategy & adoption for Ingestion and Analytics Applications within the insurance domain Define technical principles, vision, and standards in partnership with your peers Ensure the design can scale to handle additional data demands Ensure key performance indicators of applications are baselined with respect to data loads and continuously monitored. Devise performance improvement plans working with the Software Engineering, Data Analytics and Infrastructure teams. Audit support and enforce GDPR compliance as needed. Work independently to configure and maintain the database servers and processes. Monitor system health and ensure high levels of performance are maintained optimally 24/7 securely. Manage and deliver migrations to the cloud environment using Microsoft Azure to agreed timescales. Leading the DataOps function you will ensure there are robust deployment pipelines and gates in place before any database codebase is released into production. Managing the manual deployments of database changes into UAT and Production until automated solution is deployed Participate in software engineering, data analytics, architectural, development operations and systems support projects as needed. Work with the Software Engineering and Data Analyst teams to provide database architecture guidance to ensure new solutions are designed correctly from the ground up and any legacy designed are re-engineered for optimal performance. Patch the database environments on the 3rd Sunday of every month, managing this remotely. User / Role management across databases