AI-Driven Agile Product Owner Lead (SDN Automation)

Vodafone Group Plc; Madrid; Híbrido; EUR 90.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meal voucher

Flexible hours

Remote work up to 20 days/year

Private health and life insurance

25 vacation days

Pension plan

Learning platform access

Hybrid work model

Intensive summer schedule

Descripción de la vacante

Vodafone Group Plc in Madrid is seeking an AI Agile Product Owner Lead to drive AI-enabled SDN automation initiatives across the transport network. You will own the product vision, roadmap, epics and release scope, translating needs into actionable backlog items for cross-functional teams.

You're expected to manage stakeholders, ensure alignment with business priorities, and push for value realization of AI-driven automation use cases such as assurance, optimisation and anomaly detection.

Formación

• Experience translating business needs into user stories and backlog items.
• Proven track record with Agile frameworks and product lifecycle delivery.
• Strong knowledge of SDN and multi-vendor transport networks.

Responsabilidades

• Define and own the AI/GenAI SDN automation product vision and roadmap.
• Prioritize backlog, align with business priorities and delivery capacity.
• Translate needs into features and user stories; drive value realization.
• Engage stakeholders across product, engineering and leadership teams.

Conocimientos

Agile product ownership

SDN technologies

AI/GenAI automation

backlog management

Stakeholder management

Communication

Requirement engineering

Educación

Software development experience

Herramientas

REST/RESTCONF/NETCONF APIs

YANG data models

Descripción del empleo

Vodafone Group Plc in Madrid is seeking an AI Agile Product Owner Lead to drive AI-enabled SDN automation initiatives across the transport network. You will own the product vision, roadmap, epics and release scope, translating needs into actionable backlog items for cross-functional teams.

You're expected to manage stakeholders, ensure alignment with business priorities, and push for value realization of AI-driven automation use cases such as assurance, optimisation and anomaly detection.