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Company Description NielsenIQ (NIQ) is a leader in data-driven solutions, partnering with the world’s largest brands to deliver insights that drive strategic decisions. With a global presence and deep expertise in analytics and technology, we ensure that companies stay ahead in a constantly changing marketplace. Our mission extends beyond understanding consumer behaviour; it also includes refining and optimizing our internal systems that support the NIQ company operations worldwide Job Description Your Responsibilities Lead end-to-end Agile transformation for new ARTs / programs, from team setup through delivery stabilization and continuous improvement. Partner with Product, Engineering, Operations, and Data Science leadership to design scalable team structures, and operating models. Coach Release Train Engineers, Scrum Masters, and Product Owners to strengthen execution, flow, and outcome-driven planning. Facilitate PI Planning, Inspect & Adapt workshops, and leadership alignment sessions. Establish effective backlog practices, governance models, and delivery rhythms. Define and embed meaningful delivery metrics (flow, predictability, say/do ) to guide continuous improvement. Actively identify and implement AI-enabled improvements in Agile ways of working, including automation of repetitive activities and smarter decision support. Coach teams and leaders on adopting AI-supported delivery practices and experimentation culture. Contribute to the Agile Coaching Practice by sharing knowledge and shaping standards. Qualifications Over 15 years of experience in IT, with substantial experience in software development. Extensive experience leading large-scale Agile / SAFe transformations in complex enterprise environments. Strong expertise in SAFe, Scrum, and Kanban, including ART setup and program coaching. Proven ability to influence senior stakeholders and facilitate high-impact workshops. Strong understanding of flow-based metrics and data-driven delivery improvement. Hands-on experience with Jira Cloud, Confluence, and Miro. Practical understanding of AI application in software delivery, including: effective prompting techniques identifying automation opportunities in Agile processes experience with tools such as GitHub Copilot or similar AI assistants awareness of AI capabilities in modern delivery platforms (e.g., Atlassian ecosystem)