DATA Architect AI

For one of our clients, an insurance company located in Luxembourg, we are looking for a DATA ARCHITECT AI.

Mission Context

Our client's IT team aims to transform its delivery methods by integrating Artificial Intelligence into its development and maintenance processes.

The project has been designated to be the first project pilot "enhanced" by AI within our client's IT department.

The ambition is to demonstrate the added value of AI over a complete cycle, in order to create a successful end-to-end pilot model that can be replicated later for all teams.

Our client is therefore looking for a DATA ARCHITECT for this mission with a dual expertise in DATA/ AI technical coaching and expertise.

2. Mission Description

The consultant will need to support the project team in adopting AI tools and methodologies to optimize productivity and deliverable quality. The mission revolves around four critical dimensions. The Provider will therefore provide the following services to our client:

• Coverage of the SDLC (Software Development Life Cycle): Support throughout the development life cycle, with particular attention to the generation, optimization, and review of deliverables associated with each phase. The scope explicitly includes the Business Analysis part, notably the analysis of specifications, the study of regulatory documents, and the drafting of functional documents.

• Industrialization of the approach: Definition of a methodological framework to move from a punctual use of AI to an industrialized and standardized approach.

• Coaching and skills development: Supporting teams through a progressive transfer of skills. The goal is to ensure complete autonomy of internal teams in the long term (degressive approach to support).

• Synergy and integration: Ability to rally and train the entire project team in this setup, taking into account the current presence of external consultants already assigned to other lots.

Your skills:

• Business: Insurance / Banking (knowledge in the field of anti-money laundering and counter-terrorism financing - AML).

• Technical: Mastery of generative AI tools and frameworks (LLMs, Prompt Engineering) applied to the software development cycle.

• Functional:

• In-depth expertise in the SDLC (Software Development Life Cycle).

• Business Analysis skills (specification analysis, regulatory document analysis).

• Ability to industrialize processes and define reproducible frameworks.

• Technological: Collaboration and development tools supporting AI, Agile/DevOps methodologies.

• Language: French.

• Others:

• Proven experience in team coaching and skills transfer (handover).

• Ability to interact with stakeholders at different levels (operational, managers, leadership).