VP, Data and Analytics

🕒 Maio 29

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HarperCollins Publishers

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1817

👥 B2C

📱 Mídia

🛍️ Comércio Eletrônico

B2C • Media • eCommerce

A HarperCollins Publishers é uma editora global líder, comprometida em apoiar autores e entregar narrativas diversas que ressoem com leitores em todo o mundo. Com uma rica história que data de 1817, a HarperCollins oferece uma ampla gama de livros em diversos gêneros, incluindo biografias, livros de culinária, ficção e literatura infantil. A empresa foca em promover a criatividade e a inovação dentro de uma cultura acolhedora, fomentando conexões entre autores, colaboradores e a comunidade.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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