Data Architect ( H / F) (IT) / Freelance

Within GDAI, the Group Information Management team aims to:

1. Ensure the good information management practices within the client, covering Data & AI Governance, Data Quality, Data Documentation, Data Modeling, Data & AI Risks, evolving to integrate AI and Generative AI, and a growing usage of external and unstructured data.
2. Develop knowledge and define best practices, functional / technical frameworks, guidelines, or assets on Data.
3. Facilitate communities on Data, both internally in client as well as externally, foster progress with entities' data capabilities, coordinate and support local Data Management Offices.
4. Provide information management expertise to client flagships, notably the 'Tech, Data & Operations Strategy' initiatives. The purpose of the mission is to ensure the implications of data products are well identified, designed, modelled, and managed to support the scaling ambition across Group & entities.

Services: The service will do the following:

1. Drive the evolution of Data Management practices to support client’s Data Mesh transformation ambition:
1. Define necessary or improve existing frameworks / guidelines to effectively manage data products along its lifecycle.
2. Support Data Mesh team in the design of key concepts and processes of Data Mesh / Data Product Frameworks by bringing in data management perspective.
3. Connect with Data Architecture Community for synergies and drive the enhancement of Data Modelling expertise in the Data Management Community.

Candidate Profile:

1. Provide Data Product & Modelling expertise to client Flagships, notably:
1. The 'Tech, Data & Operations Strategy' initiatives, by eliciting data & AI implications from business requirements and formalizing potential data products.
2. The Data & AI Academy, as SME for relevant learning content, and ensure the presence of necessary expertise options are available at client to support the expertise enhancement and culture change.

1. Support group & entities in the delivery and management of data products, co-lead the Data Management Community including event animations, assets creations & maintenance, entity advisory, etc.

Expected Expertise:

1. Technical expertise:
1. Familiar with the Data Management Body of Knowledge (DMBOK, from DAMA).
2. At least 8 years of expertise in operational data management activities in the insurance value chain, with concrete expertise in Data Architecture & Modelling, Metadata Management, Data Quality Management, Data Governance, as well as hands-on expertise in designing and delivering Data Products.
3. Excellent expertise on Data Product and Data Mesh concepts.
4. Robust data modelling expertise.
5. Data Quality expertise.
6. Insurance core business expertise.
7. English environment.