Data Management Center Of Excellence Lead

Job Description:

Elevate data management to support AI-driven innovation Lead AXA's Data Management CoE, modernize practices for unstructured data and AI needs, and foster a culture of excellence. Collaborate across teams, shape best practices, and enable responsible data and AI transformation worldwide.

About the job

Job purpose

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

Main missions

Your responsibilities include:

• 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.
• 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 and best practices regarding "AI for Data Management".
• Support entities in the implementation of data management practices, manage the Data Management Community including event animations, assets creations & maintenance, entity advisory, etc.
• 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

We are looking for someone with the following experience and skills:

Experience & Technical skills

• Familiar with the Data Management Body of Knowledge (DMBOK, from DAMA)
• 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
• Strong capability of abstraction, definition of concepts and drafting of frameworks, guidelines and practices
• Good knowledge on AI technologies and their implications to data management activities
• English - Fluent in speaking and writing
• An experience with insurance business and AI use case implementation would be a plus.

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, etc.)
• Organizational skills and rigor in execution
• Autonomy, intellectual curiosity, and taste for innovation
• Self-motivated, proactive and able to work in a complex organization
• Team player in a multi-cultural work environment, able to see the big picture as well as deep dive into details when necessary.

What we offer

We bring together the expertise, cultural diversity and creativity of over 8,000 employees worldwide and we're committed to equal opportunities in all aspects of employment (gender, LGBT+, disabled persons, or people of different origins) and to promoting Diversity & Inclusion by creating a work environment where all employees are treated with dignity and respect, and where individual differences are valued.

Where will you be in the organization?

The division

Within Group Operations, the Group Data AI and Innovation (GDAI) division 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.

The department / team

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" initiatives.

About the entity

AXA is becoming a sustainable tech-led company and at AXA Group Operations we are one of the major catalysts for this transformation.

We set the tone by 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.

We are present across 17 countries with committed, highly qualified teams. We leverage technology, data, sourcing, security and investment allocation in a global way, but also achieve economies of scale and synergies when necessary.

At AXA Group Operations, we want to be recognized in three fields of action:

• State-of-the-art Data Technology to drive customer experience
• State-of-the-art Procurement & Sourcing to drive efficiency and better manage risks
• High-Performing Global Team for stronger partnerships with AXA entities