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At IKEA, we do things a little differently. We think differently, act differently, and work differently as well. We like to break things. Like rules. And then make things. Like music-playing lamps. And beds disguised as sofas. Even plant balls that help us look after our planet. It's all part of our vision to create a better everyday life for the many. Operations Management works together with operations teams across Inter IKEA to lead and develop the overall IKEA operating model, and to enable strategic movements delivering towards our common IKEA goals. Data Management & Performance within operations management has the ambition of securing quality, connected, available data throughout the IKEA value chain. The role will contribute to implementing tools and methods to improve data management across domains.
Job Responsibility:
Collaborate with subject matter experts and digital product teams to define and implement policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable
drive continuous improvement, collaboration and knowledge sharing of methodologies, tools and materials across the IKEA community
help in resolving data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies collaborating with product teams, subject matter experts (SMEs) and data stewards
ensure consistency by supporting the use of relevant development techniques, digital frameworks, and best practices
Requirements:
Leadership and business development experience from complex organizations
expert knowledge and experience within the Master Data field, especially within driving and expanding the use of modern Data quality practices, strategies, and technical tools
data modelling expertise is beneficial and a good understanding of the underlying business processes and systems
able to assess how technology changes impact data
understanding of Information Governance and Data methodologies
Master's degree or similar/higher qualifications in statistics, physics, mathematics, econometrics, computer science or related
Nice to have:
Data modelling expertise
understanding of Information Governance and Data methodologies
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