Apply📍 United Kingdom
🧭 Full-Time
🔍 Insurance
- Experience in defining high quality Logical Data Models and gaining approval for such models in a complex stakeholder environment.
- Experience of stakeholder management including senior stakeholders, 3rd party partners and standards organisations.
- Experience of working with industry standard data models and extending those models to support business requirements.
- Experience of working in an insurance business domain and with insurance logical data models, including commercial insurance.
- Experience with a wide variety of technical domains from green field microservice architectures to workflow management systems, integration tooling and mainframe.
- Experience of Logical Physical data mapping and of large-scale transformation projects moving from complex legacy system domains to modern digital applications.
- Experience of defining transition plans and road maps for data migration, including both bulk and gradual migration.
- Experience of defining patterns for and implementing BI/MI, analytics, and machine learning on large-volume datasets.
- Experience of data designing and implementing data security policies and regulatory compliance.
- Experience of defining and implementing governance processes for data management.
- Experience of working with external standards organisations.
- Experience of working with TOGAF framework.
- Define and manage an Enterprise Data Strategy, supporting the business strategy and objectives.
- Conduct detailed analysis of business processes, requirements, and scenarios to produce high quality Logical Data Models and work with senior stakeholders, third party partners, and standards organisations to gain approval for finished artefacts.
- Work with and customise Industry Standard Logical Data Models to produce and maintain models tailored to the specific business domain.
- Define, document and maintain business value chain for enterprise data.
- Analyse business processes to identify and document key data dependency through key end-to-end business process flows.
- Work with internal and external development teams and technical architects to drive logical service architecture design, external API contract design, and internal physical data model design.
- Work with Technical BA's to analyse existing system behaviour, data models and business process implementations to facilitate logical to physical data mapping into existing systems to drive system integration designs and data transformation.
- Design data models and patterns for downstream data exposure to facilitate accessibility for and analytics, BI, MI and reporting, both internal and external.
- Work with external 3rd party standards bodies to define and maintain global messaging standards.
- Based on business process analysis, understand and document life cycles of key data entities and define non-functional requirements for data consistency, integrity, availability, latency, and auditability.
- Work with Security Architects to define and agree on data security classifications for data defined in data models.
- Define and manage data governance framework for the program and work with existing architecture team to hand into BAU.
SQLBusiness IntelligenceData MiningETLAlgorithmsAPI testingData engineeringData StructuresRDBMSRESTful APIsMicroservicesData visualizationStakeholder managementData modelingData analyticsData management
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