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# Specialist AI Agile Product Owner Lead

- **Company:** Vodafone Group Plc.
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Machine Learning, Netconf, Software Engineering, Large Language Models, Prompt Engineering
- **Published:** July 29, 2026
- **Apply:** https://www.jobleads.com/es/job/ee86587254e42483b68f6e9e4f62ff409

## About the Role

* Strong understanding of Agile methodologies (Scrum) and product ownership practices.
 * Solid knowledge of SDN and transport network technologies in a multi-vendor environment.
 * Strong AI / Gen AI experience in Automation (LLMs, prompt engineering, and real-world applications) and /or relevant certifications
 * Excellent communication and stakeholder management skills across technical and non-technical teams.
 * Experience in backlog management, requirement engineering, and product lifecycle delivery.

Must have technical / professional qualifications:

 * Experience in software development, design, and Agile frameworks (2-3 years).
 * Knowledge of SDN technologies, including REST/RESTCONF/NETCONF APIs and YANG data models.
 * Relevant experience and knowledge in AI/ GenAI automation, ML models

## Description

The Automation Agile Product Owner is responsible for owning and driving the AI-enabled automation roadmap. Acting as a key cross-functional interface, the role bridges business, engineering, and data teams to maximise the value delivered by Agile development teams. The role ensures alignment between product vision, stakeholder needs, and execution, with a focus on delivering scalable AI-driven SDN automation solutions, * Define and own the product vision, roadmap, epics, and release scope for AI/GenAI SDN automation solutions.

 * Manage and prioritise the product backlog, ensuring alignment with business priorities, dependencies, and delivery capacity.
 * Translate business, operational, and user needs into clear user stories, features, and backlog items.
 * Lead stakeholder engagement across product, engineering, and leadership teams to ensure alignment and shared understanding.
 * Drive use case definition and value realisation for AI-enabled automation (e.g. assurance, optimisation, anomaly detection


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