> Markdown version of [/jobs/ext/4597812-specialist-ai-agile-product-owner-lead](https://www.wearedevelopers.com/jobs/ext/4597812-specialist-ai-agile-product-owner-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# 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, Scrum Methodology, Software Engineering, Large Language Models, Prompt Engineering, Generative AI
- **Published:** November 6, 2026
- **Apply:** https://www.adzuna.es/details/5954146285

## 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

* 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