Overview
Velonetic represents the joint ventures between DXC Technology, the International Underwriting Association (IUA), and Lloyd’s of London. Previously referred to as the London Market Joint Ventures, we have been operating for over 20 years in the London market (Lloyd's and Company), in both insurance and reinsurance business. Processing over £101 billion worth of premium and claims transactions today, we are building a new digital platform and services that will enable our customers to move transactions and money through the processing lifecycle with greater efficiency and speed, releasing time to drive innovation and focus on higher value activities.
Job Title and Location
JOB TITLE: Enterprise Data Architect
LOCATION: Remote Flexible working
TYPE: Permanent, Full-time (37.5 hrs per week)
In an environment shaped by strategic change and digital innovation, Velonetic is looking for a talented Enterprise Data Architect with a proven track record defining and delivering innovative data strategies employing cutting-edge technology to the end-to-end management of the data life cycle.
The successful candidate will have deep experience in Data Modelling, Data Architecture and Data Analytics, will understand the importance of up-to-date, accurate and accessible data to the enterprise and have a clear vision of how to leverage data to aid business decisions and drive revenue potential through reporting, analytics and optimisation. As part of our Enterprise Architecture team, the Enterprise Data Architect will define and govern solutions for a digital transformation program delivering a new, API-enabled platform providing open access to an ecosystem of Insurance companies, service providers, and product vendors to drive business value through improved data accuracy and availability, reduced manual processing overheads, and real-time analytical insights.
Responsibilities
* 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 gain approval for finished artefacts from senior stakeholders, third party partners, and standards organisations.
* Work with and customise Industry Standard Logical Data Models to produce and maintain models tailored to the specific business domain.
* Define, document and maintain the business value chain for enterprise data.
* Analyse business processes to identify and document key data dependencies through end-to-end business process flows.
* Collaborate 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 BAs to analyse existing system behaviour, data models and business process implementations to facilitate logical to physical data mapping and data transformation for system integration.
* Design data models and patterns for downstream data exposure to enable analytics, BI, MI and reporting for internal and external users.
* Collaborate with external 3rd party standards bodies to define and maintain global messaging standards.
* Define non-functional requirements for data consistency, integrity, availability, latency, and auditability based on business process analysis.
* Work with Security Architects to define and agree on data security classifications for data models.
* Define and manage data governance framework for the program and hand over to BAU.
Skills and Experience
* Experience in defining high quality Logical Data Models and gaining approval in a complex stakeholder environment.
* Experience with stakeholder management including senior stakeholders, 3rd party partners and standards organisations.
* Experience with industry standard data models and extending those models to support business requirements.
* Experience in an insurance business domain and with insurance logical data models, including commercial insurance.
* Experience with diverse technical domains from green field microservice architectures to workflow management systems, integration tooling and mainframe.
* Experience with Logical-Physical data mapping and large-scale transformation projects moving from legacy to modern digital applications.
* Experience defining transition plans and road maps for data migration, including bulk and gradual migration.
* Experience defining patterns for BI/MI, analytics, and machine learning on large-volume datasets.
* Experience designing and implementing data security policies and regulatory compliance.
* Experience defining governance processes for data management and working with external standards organisations.
* Experience working with TOGAF framework.
What We Can Do For You
* Competitive compensation
* Pension scheme DXC Select – (benefits package)
* Perks at Work
* DXC incentives
DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role. DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud information: DXC does not make offers of employment via social media networks and never asks for money or payments from applicants at any point in the recruitment process.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* IT Services and IT Consulting
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