VP, Data and Analytics

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HarperCollins Publishers

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1817

👥 B2C

📱 Médias

🛍️ eCommerce

B2C • Media • eCommerce

HarperCollins Publishers est une maison d'édition mondiale de premier plan, engagée à soutenir les auteurs et à offrir des récits diversifiés qui trouvent un écho auprès des lecteurs du monde entier. Avec une riche histoire remontant à 1817, HarperCollins propose une large gamme de livres dans divers genres incluant les biographies, les livres de cuisine, la fiction et la littérature pour enfants. L'entreprise se concentre sur la promotion de la créativité et de l'innovation au sein d'une culture accueillante, favorisant les liens entre les auteurs, les employés et la communauté.

Description

• Lead a data function responsible for data infrastructure, engineering, governance, and analytics for HarperCollins across North America • Build a cohesive team of leaders across data disciplines and design the organization for accelerated delivery and future scalability • Own the enterprise data strategy, focusing on modernizing and converging data architecture on Microsoft Fabric • Engage and consult with senior leadership in IT and across the business to ensure data strategy deliverables align with business needs • Oversee the execution of data transformation • Optimize data quality and delivery of analytics solutions through governed data products • Manage and extend a portfolio of consulting and vendor partners • Foster effective partnerships between the data function and various teams globally • Prepare the data function for AI integration

🎯 Exigences

• 15+ years of experience in Data and Analytics roles • 5+ years of experience leading data teams managing high-volume, high-complexity ERP data • proven ability to devise strategic goals in a complex business environment • exceptional ability to engage, influence, and collaborate with stakeholders at all levels • fluency in modern data and analytics platforms, including Lakehouse architectures • extensive experience with Microsoft’s cloud data platform components and their evolution into Fabric • strong background in delivering complex data engineering solutions • demonstrated experience leading enterprise-level data transformations • strong understanding of the analytical potential of AI • experience with JD Edwards (JDE) integrations is highly preferred • DAMA-DMBOK certification or similar data management accreditation is an advantage

🏖️ Avantages

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development • emotional wellbeing • transportation benefits • other benefits including elective benefits