Lead the analytics product model: Establish and run a product-oriented analytics setup (POD), with clear ownership, lifecycle management, roadmaps, and success metrics
Drive business-aligned analytics: Ensure all initiatives are linked to business decisions, KPIs, and measurable outcomes
Ensure ERP and data integration: Align analytics with ERP and data foundations, partnering on governance, data quality, and standardized datasets
Enable advanced analytics and AI: Identify, prioritize, and guide AI/analytics POCs and MVPs, ensuring business impact and fit with a regulated environment
Strengthen operational excellence: Build a scalable support model with IT, standardize solutions, and reduce duplication through reuse and lifecycle management
Lead stakeholders and capabilities: Partner with business leaders to drive adoption, prioritize demand, and develop internal and external analytics capabilities
Requirements
Proven track record with solid experience (+8 years) in business intelligence, analytics, or data-related roles
Solid experience leading analytics beyond report delivery with end-to-end ownership
Worked in ERP-enabled analytics environments (D365 or SAP) and enterprise-wide transformation initiatives
Experience working in regulated environments (GxP and/or SOX)
Strong collaboration experience across business, IT, and data engineering
Bachelor’s or master’s degree in business analytics, data & analytics, engineering, computer science, economics, supply chain, or a related field
Relevant certifications in analytics, data management, product management, or cloud/data platforms are an advantage
Full proficiency in English – written and spoken is mandatory, knowledge of Danish and/or German is a plus.