Freddy Koumbo

As part of the Solvency II regulatory reform, Groupama Gan Vie is implementing a data dictionary for all information systems contributing to QRT production within the scope of 'Life' products, for the Retirement, Savings, and Provident branches.

Functional Consultant

- Organization of workshops with actuaries

- Implementation of data lineage (from model points and modeling assumptions to various back offices)

- Documentation of controls performed by actuaries

- Modeling and implementation of the reporting solution (Qualitadd)

The BNP group prepares its accounts quarterly. However, each entity does not present its accounts in the same way. To facilitate the reading of consolidated accounting data for the entire group, the Magritte application is implemented. Magritte aims to provide a simple and fast tool for retrieving and analyzing all consolidated accounting data for the group. The application sources data from various repositories: Regent (legal entities), Greco (business unit), BALI (fixed-income and variable-income securities), and Sierra (main repository for fixed-income securities). This reference data is cross-referenced with consolidated accounting data from the Matisse Conso application. The data is then presented via the Magritte platform using Cognos.

Within an Agile-organized team, I am responsible for the application.

My tasks include:

- Gathering business requirements

- Writing functional specifications

- Ensuring all services are operational (processes, data flows, production monitoring)

- Tracking the development of enhancement requests

- Performing functional tests

- Developing and maintaining reports in Cognos

- Assisting users in understanding and using Cognos reports

- Ensuring the application complies with group infrastructure standards

The "Group DataLake" project aims to consolidate all La Poste group data within a central DataLake, intended to host over 50 different sources from the group's IT systems: LBP IT, BSCC IT, BNU IT, and Partner IT, as well as to provide data for all uses of 15 business departments.

Data Manager – Group DataLake

- In collaboration with Business Product Owners, challenge uses, relevance of data provided, and verify GDPR compliance. Participate in the strategy for ingesting group data into the DataLake.

- Responsible for the quality of data entering the DataLake: Qualify data sources using Dataiku (Formatting, completeness, consistency, documentation), verify data compliance and its relevance for business uses, its uniqueness in the warehouse, functional supervision of data flows and end-to-end data lifecycle consistency. Provide recommendations on actions to improve data quality.

- Support in implementing business rules within the DataLake, their documentation, and their verification (technical and functional acceptance testing via Dataiku).

- Use and inclusion in the shared data model (qualification of personal data, data quality throughout its lifecycle, data lineage).

- Manage data loading, prioritization, and project monitoring.

- Contribute to the implementation and population of an enterprise data dictionary (Harmada Project implemented on Collibra solution) and a Confluence documentation project per source.

- Communicate and share knowledge about data to raise user awareness of its usage.

- Formalize and present progress to various steering committees.

Collibra (Harmada), Confluence, Dataiku, Jira (for tracking epics and user stories), Service Now (incident tracking)