AI Product Owner: Drive End-to-End AI Adoption

Metyis AG; Porto; Hybrid; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

Metyis AG in Porto is seeking an AI Product Owner to join the Data and Analytics team. The ideal candidate has 3+ years in project or product management and will own AI product lifecycles from concept to deployment.

You will work closely with data scientists, engineers, and business stakeholders, translating business needs into technical requirements and ensuring governance and quality across AI initiatives. This hybrid role offers growth and exposure to international projects.

Qualifikationen

• 3 to 5 years of experience in project management, product management, or a business analyst role.
• Fluency in English.
• Experience with agile methodologies.
• Direct exposure to AI or technology driven projects.
• Strong ability to bridge between technical teams and business stakeholders.

Aufgaben

• Translate business requirements into technical specifications for AI use cases in collaboration with business and technical stakeholders.
• Identify opportunities to transform challenges into AI-powered solutions.
• Define and manage acceptance testing, non-regression protocols, and QA processes for AI production readiness.
• Produce clear marketing and communication deliverables to support adoption and change management.
• Coordinate and monitor AI project implementations with local and central stakeholders, ensuring timelines and budgets are respected.
• Embed data governance principles into AI product delivery, including data ownership and quality definitions.
• Oversee integration and management of AI systems in production across data, IT, and operations teams.
• Track performance of deployed AI solutions and feed insights into the product roadmap.

Jobbeschreibung

Metyis AG in Porto is seeking an AI Product Owner to join the Data and Analytics team. The ideal candidate has 3+ years in project or product management and will own AI product lifecycles from concept to deployment.

You will work closely with data scientists, engineers, and business stakeholders, translating business needs into technical requirements and ensuring governance and quality across AI initiatives. This hybrid role offers growth and exposure to international projects.