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Data Analytics Senior Manager – Kings Cross London The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The DA team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. Champion enterprise-wide culture of fact-based decisions, data quality and accountability. Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. Review and recommend approval for information related policies, procedures and standards. Directs, organizes, and leads DA workstream projects. Works on highly complex, cross-functional, and enterprise solutions. Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions. Reviews and approves work plans, timelines, deliverables and resource commitments. Reviews and approves data architecture, data models and specifications. Establishes and publishes performance metrics and plans for DA service demand and service levels. Prepares and manages annual capital and operating budgets for DA assets, personnel and services. Recruits, hires, develops and motivates the DA team members. Reviews and approves functional requirements and business cases for DA improvements. Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. Aligns DA technologies with CSI strategic initiatives. Approves selection of tools, frameworks and mechanisms for data analytics. Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas: Data governance Data preparation (sourcing, acquisition, integration) Data warehousing Reporting, analytics, data exploration Information delivery (portals, mobile) DA competency center or center of excellence (DA COE) A university degree in computer science, economics, operations, management, or a related field is required A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated. Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. Medical device or pharmaceutical industry experience is preferred. Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). Experience with agile software development. A solid understanding of key trends including machine learning and artificial intelligence. General business skills: Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. Experience managing global, complex projects and teams. Ability to complete projects and achieve results in an ambiguous work environment. Ability to take initiative and be innovative. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to build and motivate a team to achieve well communicated expectations. Strong leadership and consensus building abilities across global cultures and all levels of management. The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London. Please send your CV to us in Word format along with your salary and availability.

Nous recherchons pour l’un de nos clients un(e) "Ingénieur Poste de Travail (H/F)" Missions principales : Administrer et optimiser les postes Windows 10/11 et Android Gérer les incidents de niveau 2-3 liés aux environnements utilisateurs Administrer les outils de gestion de parc et de déploiement : Ivanti, SCCM Piloter la solution MDM pour la sécurité des terminaux mobiles Assurer la virtualisation des postes via Systancia WorkPlace Gérer le provisioning / l’imagerie des postes de travail Maintenir les outils techniques associés : scripts, WSUS, LAPS, BitLocker, monitoring, serveurs de déploiement

🚀 Contexte Dans un environnement IT en forte transformation, la DSI renforce son pôle End User Computing et recrute un Ingénieur Poste de Travail Niveau 3 pour accompagner l’industrialisation et la sécurisation du parc. 🎯 Mission🔧 Exploitation & MCO Gestion des incidents complexes (N3) Maintien en conditions opérationnelles du parc Pilotage des escalades éditeurs 🏗️ Ingénierie Conception et évolution des architectures poste de travail Industrialisation des déploiements Automatisation (scripts, packaging, policies) 🔐 Sécurité Mise en conformité des postes (BitLocker, durcissement…) Gestion des accès sécurisés Participation aux audits sécurité 📊 Pilotage Suivi des KPI et tableaux de bord Amélioration continue Documentation & capitalisation 🤝 Transverse Participation aux projets Modern Workplace Interaction avec équipes infra, sécurité et support 🛠️ Environnement technique Windows 11 Microsoft 365 / Office 365 Microsoft Intune (MDM / MAM) SCCM / Autopilot Active Directory / GPO PowerShell Entra ID / Purview environnement Apple (macOS) 🔐 Sécurité BitLocker, durcissement OS VPN / Zero Trust Gestion certificats (S/MIME)

Au sein de la direction Data Solutions & Intelligence Artificielle de notre Client à Niort : Data Solutions : collecte, structuration, traitement et diffusion des données pour les métiers Intelligence Artificielle : développement d’usages responsables et performants au service des clients et collaborateurs Dans le cadre du projet (référentiel unique Personne), l’équipe souhaite renforcer son pôle études / cadrage / maturation en amont des développements. 🚀 Objectifs de la mission Analyser les évolutions à venir sur le référentiel Réaliser les études d’impact sur les composants du SI Participer au cadrage fonctionnel et technique Préparer les sujets avant transmission à l’équipe de réalisation 🛠️ Activités principales Étudier les besoins métiers et les traduire en exigences data Réaliser les analyses d’impact multi-systèmes Produire les livrables de cadrage : Spécifications fonctionnelles et techniques Schémas d’architecture et de flux Supports de présentation Collaborer avec les équipes : Data IT Métiers Participer aux échanges et suivi via les outils Agile ⚙️ Environnement technique APIs & middleware : TIBCO MDM : Informatica MDM Data Quality : Informatica Data Quality Base de données : MongoDB Traitements : Java Outils collaboratifs : Jira / Confluence (Atlassian) 📦 Livrables attendus Dossiers d’étude d’impact Spécifications détaillées Schémas d’architecture et flux Présentations de cadrage pour validation