Océane Mabialah

Acting as Data Steward for the E-Invoicing program within a regulated banking environment.

Key responsibilities include:

• Production and maintenance of the Data & Dictionary Asset Classification for each information system within the program

• Definition, documentation, and governance of Data Asset Classification and Data Dictionaries across invoicing-related systems

• Assessment of data criticality, sensitivity, and regulatory impact (financial, operational, compliance)

• Alignment of data classification practices with group data governance standards

• Contribution to audit-readiness, data traceability, and data quality across end-to-end invoicing data flows

This role supports regulatory compliance, risk management, and structured data governance across multiple information systems.

• Supervised and supported business teams in implementing the Data & AI Governance strategy for AXA France.

• Developed a monitoring tool in Python and PySpark to track the quality and reliability of data on the Azure Datalake using PowerBI.

• MLOps, gathered requirements, and created GenAI POCs to address various business challenges.

• Trained and supported Data Stewards (Property & Casualty Insurance) on best practices for governance and documentation of critical data in Collibra.

• Drove data acculturation across AXA France by creating simplified content in the form of videos and publications on Teams.

• Identified, mapped, governed, and managed Databricks Datalabs (Property & Casualty Insurance scope): managed usage, compliance, and identified data owners.

• Documented critical datasets in Collibra, requiring information gathering from over 20 stakeholders.

• Led cross-functional projects focused on aligning governance and data products.

Stack: Python, PySpark, SQL, Azure, Databricks, ETL, Power BI, Collibra, Data lineage, Data Quality, AI Management & MLOPS

• Analyzed over 10 million transactions using SQL and PySpark for business validation, pre and post-migration to the Datalake. (Scope: Transactions & Payments for France, Germany, Switzerland, Belgium, Spain, USA, London, Hong Kong, etc.).

• Performed causal analyses on discrepancies between legacy systems and the Datalake, leading to the redesign of critical pipelines.

• Modeled data tables and constructed Business Views (business tables) in the Datalake, facilitating cross-functional analysis for finance and compliance teams.

• Created strategic dashboards with Power BI for 3 business units.

Stack: SQL, PySpark, ETL, Hive Megastore, HDFS, Power BI, data pipelines, gap analysis, causal inference, data reliability