The Cloud Product Owner is responsible for supporting the successful delivery and evolution of cloud-based software solutions.
The role acts as the technical and domain bridge between customers, product teams, and software development teams, translating complex business and analytical requirements into scalable product capabilities.
The adecuado candidate combines strong renewable wind energy domain expertise, product ownership experience, and a data/AI-driven mindset, helping shape and deliver advanced analytics solutions that integrate into the platform ecosystem.
Key responsibilities:
Product Ownership & Delivery
Manage the product backlog, ensuring alignment with business goals, timelines and budget
Translate business, customer, and domain requirements into clear user stories and actionable development requirements
Work closely with engineering teams to clarify scope, refine implementation approaches, and unblock delivery
Drive sprint readiness, backlog refinement, acceptance criteria definition, and feature validation
Ensure delivered solutions are scalable, maintainable,



and aligned with the platform architecture.
Domain & Solution Leadership
Act as the bridge between renewable energy domain and software development
Translate renewable asset performance, forecasting workflows, and wind farm development processes into product capabilities
Support design of advanced analytics features, including AI/ML-driven use cases and intelligent automation
Help define how domain-specific analytical logic is embedded into product workflows.
Cross-Functional Collaboration
Partner closely with the customer Product Manager on priorities, roadmap execution, and feature definition
Collaborate with developers, architects, UX, QA, and Delivery Manager to ensure successful planning and execution
Engage with internal and external stakeholders to validate requirements and gather feedback
Support release planning, feature acceptance, and continuous improvement.
Responsibilities
At Data &

📌 Cloud Product Owner (Madrid)
🏢 Dnv
📍 Madrid