Data Architect Lead
Role details
Job location
Tech stack
Job description
The purpose is to define, develop and promote Data Mesh / Data Product best practices, frameworks and standards, to educate and support various stakeholders from Group & Entities, and enable/take part to Data Product certification in Design Authorities with Data Architects & Information Managers experts., * Define, develop (in collaboration with data architects & information manager experts) and promote Data Mesh / Data Product best practices, frameworks and standards, leveraging market and AXA standards in data architecture, information management, following AXA legal, information security and privacy policies. A first set of foundational deliverables have been delivered in 2024: viewpoint, metadata model, governance, architecture, data platform blueprint, data mesh assessment and catalog of G10+ entities;
- Ensure global consistency of the frameworks & standards;
- Educate and support various stakeholders from Group & Entities in the Data Product Lifecycle & Deployment;
- Enable/take part to Data Product certification in Design Authorities with Data Architects & Information Management experts;
- Collaborate with the Data & AI Culture team to provide stakeholders with the necessary skills and knowledge to work on Data Products, animate dedicated trainings;
- Animate events to promote Data Mesh / Data Product initiative across the Group.
Requirements
- At least 5 years of proven experience in data mesh / data product transformation in various large organizations as a senior data architect or information manager;
- Expert in Data Product and Data Mesh concepts, including metadata management;
- Concrete hands-on experience in the operational design & implementation of data & analytics use cases and related data products;
- Good knowledge of IT components enabling Data & AI Products, including AI lifecycle/engineering, data platforms, data exchanges (incl. APIs), data catalog, data marketplace;
- Good knowledge of data regulations;
Soft skills / transversal skills
- Good communicator, able to adapt the speech and embark various stakeholders from Business, Data and IT, at different levels (CDOs, CTOs, business leaders, project managers/product owners, architects, head of data management, data stewards, data scientists, etc.) and with different level of knowledge about Data Mesh / Data Product;
- Ability and eager to understand strategy and business usages;
- Organizational and structuration skills, and rigor in execution;
- Intellectual curiosity, proactive, autonomous and able to work in a complex organization, with a taste for innovation with an ability to step back and evaluate real opportunity for AXA;
- Team player in a multi-cultural work environment, able to see the big picture as well as deep dive into details when necessary;
- Sense of priorities;
- English - Fluent in speaking and writing;
- Experience or good knowledge of the insurance value chain would be a plus.