Business Intelligence

AXA Partners is a leading B2B insurance company operating across assistance, travel, and protection markets. Data is a major strategic enabler supporting AXA Partners’ strategic ambitions, with a strong focus on profitable growth, operational efficiency and performance monitoring, all backed by trusted and actionable data.

Within theData & AI team of AXA Partners, the Business Intelligence & Data Analytics Manager plays a pivotal role in translating the BI & Data strategy — defined by the Head of Data & AI and aligned with AXA Partners’ common data principles and standards intoconcrete, measurable business outcomes.

What you’ll be doing:

The BI & Data Analytics Manager oversees the full BI value chain: from data sourcing and pipeline collaboration with Data Engineering and IT teams, to the functional design and lifecycle governance of semantic models, dashboard design, reporting frameworks, and end-user enablement. The role combines technical leadership,team management, and cross-functional collaboration, ensuring that BI solutions are reliable, scalable, governed and aligned with business priorities.

Business Intelligence Leadership

• Define and drive the AXA Partners Protection BI roadmap in alignment with business priorities and applicable Group and AXA Partners data and technology standards
• Design and implementgoverned self-service BI solutionsthat empower business users with autonomous analytics capabilities.
• Build, maintainand progressively razionalize dashboards, reports, and data visualizationstailored to both technical and non-technical audiences.
• Ensure theaccuracy, reliability, and consistencyof all data analyses and reporting outputs, maintaining high standards of data quality and governance.
• Collaborate with IT and Data Engineering teams to define BI data requeriments and support the design ofscalable, robust data pipelines.
• Enhance theaccessibility and usability of authorized BI and analytics data assetswithin the organization.
• Monitor industry trends and emerging BI technologies, integrating relevant innovations into the team's practices in coordination with AXA Group and AXA Partners Data and Technology communities.

Client Reporting Framework

• Design and implementeffective client reporting frameworks, ensuring clarity, accuracy, and alignment with client expectations, business priorities and applicable data standards.
• Ensure timely delivery of all client reports, meeting agreed SLAs and quality standards.
• Driveautomation and progressive rationalization of reporting processesto improve efficiency, reduce manual effort, and increase reliability.
• Ensure all reporting activities comply withapplicable AXA data security standards and regulatory requirements.
• Actively collect and incorporateclient feedbackto continuously improve reporting solutions and satisfaction.

Team Management

• Lead, mentor, and develop theBI & Data Analytics team, fostering a collaborative, high-performing, and learning-oriented environment.
• Define team`s delivery roadmap, , prioritize activities, and ensure timely delivery in line with business objectives and the priories agreed by Head of Data & AI.
• Optimize the use ofBI tools, platforms, and resourcesto maximize the team's efficiency and output.
• Track team performance, provide constructive feedback, and identify growth opportunities for team members.
• Promote a culture ofcontinuous improvement, innovationand reuse within the team.

Stakeholder Collaboration

• Work closely with business analysts, data engineers, IT teams, and business leads totranslate business requirements into robust BI solutions.
• Actively contribute toData & Analytics communities of practicewithin AXA Partners and AXA Group, sharing reusable practices and ensuring local adoption of applicable standards.
• Act as a key interface between the Data & AI team and business stakeholders, ensuring BI insights are effectively integrated into decision-making processes.

What you’ll bring:

• Strong expertise in BI tools(Power BI, Tableau, Qlik or equivalent)
• Proficiency in SQLand data querying languages
• Solid understanding of data modelling, semantic modelling, data warehousing, and ETL/ELT processes
• Experience with cloud data platforms(e.g. Azure, AWS, GCP)
• Experience working with data governance, quality frameworks, and security standards
• Familiarity with agile project management methodologies

• Strongleadership and people managementcapabilities
• Excellentcommunication and data storytellingskills — ability to convey complex insights to non-technical audiences
• Strategic