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Data & BI Lead - Marketing & Customer Insights

H & M Hennes & Mauritz GBC AB

Suecia📅 12/10/2026

Descripción

Job Description ABOUT THE TEAM You'll join the Marketing Insights & Steering area within the Marketing Domain, where we enable data-driven decision-making across H&M's global marketing organisation. Our team plays a central role in understanding the impact of marketing, ensuring that investments across channels, markets and customer touchpoints are measurable, optimised and aligned with business goals. We build and evolve the insights, measurement and reporting capabilities that help H&M understand how marketing drives customer behaviour and business results. By connecting data, technology and business needs, we enable smarter decisions and greater impact across the organisation. Working closely with teams across Marketing, Marketing Tech and AI- Data & Analytics we help make trusted data more accessible and actionable across the business. WHAT YOU'LL DO As Data & BI Lead, you’ll shape the direction of data and business intelligence across H&M’s global marketing organisation. Working at the intersection of business, analytics and technology, you’ll ensure that marketing data is transformed into trusted, accessible and actionable insights that support better decisions. You’ll set the long-term vision and roadmap for the Data & BI area while remaining close to the solutions, stakeholders and business challenges that shape our work. You’ll guide and support Data & BI Specialists, establish strong ways of working and help the team balance strategic development with operational delivery. You will: Lead the long-term vision, strategy and roadmap for Data & BI within H&M Global Marketing, ensuring our capabilities are aligned with evolving business needs. Oversee the holistic marketing data and BI toolkit, ensuring that tools and solutions are consistent, governed and scalable across data areas. Lead and support Data & BI Specialists by establishing best practices, enabling technical development and fostering collaboration across the team. Drive prioritisation for the Data
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