Analytics Manager
Listed on 2026-07-27
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IT/Tech
Data Analyst, Data Science Manager, Business Systems & Technology Analysis
About AXA
AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence.
About AXAAXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence.
Job OverviewAXA Global Healthcare is enhancing its data and analytics to support its growth. As Analytics Manager within the Chief Data Office, you’ll oversee all analytics activities—business intelligence, reporting, advanced analytics, and machine learning—across regions and functions. You’ll connect business needs with data solutions, ensuring insights are accessible, reliable, and impactful. Leading a global team of analysts, BI specialists, and data scientists, you'll collaborate with senior stakeholders, shape analytics strategy, and promote a data-driven culture.
This role offers a significant growth opportunity for a high-caliber analytics professional to develop into broader leadership.
- Define and execute the analytics vision and roadmap aligned with business priorities and AI strategies, identifying measurable value opportunities.
- Collaborate with Operations, Claims, Underwriting, Finance, and Customer Experience to identify key data use cases and ensure quality outputs.
- Manage requirements and oversee the development, deployment, and maintenance of advanced analytics and machine learning models (e.g., churn, fraud, segmentation).
- Lead the migration from legacy platforms (SAS, Business Objects) to Azure, Databricks, and Power BI, automating processes with data engineers.
- Develop and maintain a global dashboard framework, promote self-service tools, and ensure governance, data quality, and compliance.
- Lead and mentor a team of 5 data professionals, fostering a high-performance, impactful culture.
- Support data and AI governance initiatives, ensuring adherence to standards and best practices.
- Collaborate with Data & AI leadership to align strategies and ensure effective implementation.
At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events.
We know that some candidates may be discouraged from applying if they don't meet every requirement. If you’re excited by this job and the prospect of working at AXA but you’re not sure you tick every box, we’d still encourage you to apply.
Your Skills & Experience- Advanced degree in Data Science, Analytics, Actuarial Science, or Statistics with significant leadership in insurance, health, or finance.
- Proven success in delivering impactful global analytics programs and leading diverse analytics teams.
- Expertise in defining requirements and managing advanced analytics and ML models for structured data.
- Proficient in Power BI, SQL, Python, Azure, Databricks, and Dataiku, with hands-on ETL/ELT experience.
- Strong understanding of ML lifecycle, validation, governance, data quality, and GenAI awareness.
- Excellent leadership, communication, and storytelling skills to influence senior stakeholders globally.
- Strategic, pragmatic, and delivery-focused, adept at navigating ambiguity and fostering innovation.
- French proficiency is a preferred.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
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