Head Of Data H/F - APRIL

APRIL est le leader du courtage grossiste en France avec un réseau de 17 000 courtiers partenaires.Les 2 900 collaborateurs d'APRIL ont l'ambition de proposer à leurs clients et partenaires - particuliers, professionnels et entreprises - une expérience remarquable alliant le meilleur des relations humaines et de la technologie, en santé et prévoyance des particuliers, professionnels et TPE, en assurance des emprunteurs, en santé internationale, en dommages de niches et en gestion de patrimoine.APRIL ambitionne de devenir un acteur digital, omnicanal et agile, champion de l'expérience client et leader sur ses marchés tout en s'engageant sur les enjeux de Responsabilité Sociétale structurés au sein de sa démarche Oxygen.Le groupe APRIL opère dans 19 pays et a enregistré en 2023 un chiffre d'affaires de 630M€.
As APRIL Group accelerates its data transformation and continues to grow its iPMI activities, we are recruiting a Head of Data to structure, lead, and expand high-value business data initiatives. The primary objective of this role is to identify, scale, and industrialise strategic data use cases that support business steering and decision-making, including commercial and financial performance monitoring, technical indicators, and the management of operational productivity and service quality. The role will also support upcoming strategic transformations, particularly in the field of AI.This position is part of a federated data organization, where data capabilities are distributed across business teams, IT, and the Group. In this context, the Head of Data will play a key cross-functional coordination role.The Head of Data will also represent the subsidiary within the Group Data leadership team. In this capacity, they will advocate for the subsidiary's priorities and challenges while ensuring alignment with Group-wide data standards and strategic direction.KEY RESPONSABILITIESDefine and Lead APRIL International Data RoadmapDefine APRIL International data roadmap in line with both business priorities and Group objectives.Deliver high-value data use cases, with a strong focus on performance management and decision support.Structure governance for key business uses and indicators (business and semantic layers), ensuring data consistency across markets and geographies and enabling consolidation at Group level.Develop Data Use Cases Across the iPMI businessFrame and specify business needs together with operational and functional departments (sales, finance, technical, operations).Lead the design and deployment of data products, including dashboards, reporting, and analyses, while ensuring reusability of data and KPIs and alignment across stakeholders (business, IT, data teams, etc.).Contribute directly to the development of analytic and BI tools.Ensure adoption and business impact of deployed solutions through high data quality, reliable indicators, and strong usage rates. Lead and Coordinate APRIL International's Data Function Manage a dedicated data team (5 FTEs, including data analysts and data scientists).Coordinate the wider data community (data analysts, data scientists, data engineers, and business data representatives) to drive convergence and ensure overall consistency of the data roadmap.Represent the subsidiary within Group Data governance bodies.Reporting LineReports to: iPMI CIO with a reporting line to the Group Chief Data OfficerManagement scope: 5 direct reports, plus functional leadership of the subsidiary's broader data community

8 to 12 years of experience in data, BI, or analytics.Strong experience leading business-oriented data use cases.Proven people management experience in complex environments, including distributed teams.Strong expertise in data usage, including KPI definition and specification, data modeling, and analytical techniques.Hands-on analytics and data development capabilitiesDeep understanding of business performance management challenges, particularly in brokerage and insurance.Solid project management capabilities.Good understanding of modern data environments, including BI, data platforms, data products, governance, and data quality.Strong influencing leadership and excellent interpersonal skills.Results- and execution-oriented mindset.Ability to work effectively in complex, multicultural environments.Pragmatic, structured, and focused on outcomes. Compétences : data, analytics, management