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AXA

Global insurer offering life, property, casualty

Data Management Lead Expert

Data ManagementUpdated on Nov 5
Full-timeParis, FranceNo salary listedHybrid

About the Job

Requirements

  • At least 8 years of experience in operational data management, including concrete experience in Data Governance, Metadata and Data Quality management, and Data Risks, as well as a good understanding of Data Product.
  • Familiarity with the Data Management Body of Knowledge (DMBOK) from DAMA.
  • Strong capability in abstraction, defining concepts, and drafting frameworks, guidelines, and practices.
  • Good knowledge of AI technologies, notably Generative and Agentic AI, and their implications for data management activities.
  • Ability to communicate, mobilize, and coordinate a network of stakeholders from varied backgrounds, including CDOs, CTOs, business leaders, transformation managers, architects, heads of data management, data managers, data stewards, data scientists, and learning and development professionals.
  • Organizational skills and rigor in execution.
  • Autonomy, intellectual curiosity, and interest in innovation.
  • Ability to work independently and proactively in a complex organization.
  • Ability to work in a multicultural environment, see the big picture, and dive into details when necessary.
  • Fluent spoken and written English.

Responsibilities

  • Lead the Data Management Center of Excellence, generalizing local best practices into group frameworks and managing data frameworks and assets to ensure coherence.
  • Drive the evolution and modernization of data management practices to support strategic Data and AI requirements; identify gaps; propose appropriate evolutions, notably for unstructured data and AI-related requirements; and develop concepts, best practices, use cases, and proofs of concept for AI for Data Management.
  • Support entities in implementing data management practices.
  • Manage the Data Management Community, including event facilitation, asset creation and maintenance, and entity advisory.
  • Provide data management expertise to AXA flagship initiatives, including the Tech, Data and Operations Strategy and AI Scaling initiatives, by supporting implementation squads with suitable data management standards and practices.
  • Serve as a subject matter expert for relevant Data and AI Academy learning content and ensure upskilling options are available to strengthen expertise and support culture change.

Desired Qualifications

  • Experience with the insurance business and AI use-case implementation.

About the Company

AXA

Global insurer offering life, property, casualty

AXA is a global insurer and asset manager that provides life, health, and property and casualty insurance, as well as related financial services. Its products work by customers paying insurance premiums in exchange for coverage against risks; AXA pools risk across many policyholders, prices premiums based on risk, and pays claims when events occur, while also offering investment and retirement products through its asset management arm. The company has grown through large acquisitions, giving it a wide geographic footprint and a diverse mix of personal, commercial, and specialty insurance offerings. This scale and breadth set AXA apart from many competitors, alongside a long history of strategic mergers that expanded its reach to customers around the world. AXA’s goal is to be a leading global insurer and asset manager, delivering financial protection and long-term value to customers and stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1816

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