Data Management CoE Lead

Join a dynamic team shaping the future of insurance through data, AI, and innovation Lead data management excellence, drive modernization, and empower AXA’s transformation to become a tech-led, customer-centric organization. Be a catalyst for change and impact global strategies

About the job

In the last years, significant work has been done to digitize AXA’s business model so far. Nevertheless, due to massive technological changes, customers’ expectations and behaviors have evolved significantly. Thus, we are convinced that we must accelerate our technological transformation to achieve our ambition to become an innovative tech-led company. The opportunities offered by data and technologies are massive both for our traditional insurance business and for new services to achieve our Payer to Partner ambition.

Group Operations sets the tone and must play its role as one of the major catalysts of AXA’s transformation. We are the ones triggering and empowering the evolution of our insurance business model through technology and innovation, driving its concrete implementation globally at speed, with a high quality of advisory and execution. Data & AI are at the core of AXA Strategy.

Within Group Operations, the Group Data AI and Innovation (GDAI) team explores and scales the value of data, AI, and emerging technologies with the potential to disrupt the current insurance business model and to shape future opportunities in order to better partner in our customers’ lives.

Within GDAI, the Group Information Management team aims to:

• Ensure the good information management practices within AXA, covering Data & AI Governance, Data Quality, Data Documentation (incl. Meta Management), Data Modeling, Data & AI Risks, evolving to integrate AI (incl. Generative and Agentic AI), and a growing usage of external and unstructured data.
• Develop concepts, knowledge and define best practices, functional/technical frameworks, guidelines, or assets on Data.
• Facilitate communities on Data, both internally in AXA as well as externally, foster progress with entities’ data capabilities, coordinate and support local Data Management Offices.
• Provide information management expertise to AXA flagships, notably the Tech, Data & Operations Strategy and AI Scaling initiatives.

Job purpose

The purpose is to ensure data management practices evolve to meet the requirements of an AI-intensive organization.

Main missions

1. Lead the Data Management Center of Excellence (CoE), including the generalization of local best practices on data management into group frameworks, and the management of overall data frameworks/assets to ensure their coherence.
2. Drive the evolution and modernization of data management practices (ref: AXA Data Management Activity Map, Data Management Asset Catalog) to support new strategic requirements on Data & AI, identify the gaps, propose adequate evolution notably in terms of unstructured data and new requirements related to AI (incl. Generative and Agentic AI), and develop concepts, best practices, use cases and Proof of Concepts regarding “AI for Data Management”.
3. Support entities in the implementation of data management practices, manage the Data Management Community including event animations, assets creations & maintenance, entity advisory, etc.
4. Provide data management expertise to AXA Flagships, notably:
   • the Tech, Data & Operations Strategy and AI Scaling initiatives, by supporting the implementation squads with suitable data management standards and practices.
   • the Data & AI Academy, as SME for relevant learning content, and ensure the necessary upskilling options are available at AXA to support the expertise enhancement and culture change.

Expected skills & experience

Experience

• At least 8 years of experience in operational data management activities with concrete experience in Data Governance, Metadata and Data Quality management, Data Risks, as well as good understanding of Data Product
• An experience with insurance business and AI use case implementation would be a plus.

Technical skills

• Familiar with the Data Management Body of Knowledge (DMBOK, from DAMA)
• Strong capability of abstraction, definition of concepts and drafting of frameworks, guidelines and practices
• Good knowledge of AI technologies (notably on Generative and Agentic AI) and their implications to data management activities

Soft skills / transversal skills

• Ability to communicate, mobilize and coordinate a network of stakeholders from various backgrounds (CDOs, CTOs, business leaders, transformation managers, architects, head of data management, data managers, data stewards, data scientists, learning & development people, et