AI Product Owner

Metyis is growing! We are looking for an AI Product Owner to join our Data and Analytics team in Porto. The ideal candidate should have 3+ years of relevant experience in project or product management.

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge.

What we offer

• A hybrid role at the crossroads of AI product management, operational delivery, and client success, with real end-to-end ownership.
• Close collaboration with both technical teams and senior business stakeholders, giving you broad exposure to the full AI product lifecycle.
• The chance to drive AI adoption at scale across a large international organisation, with measurable business impact.
• A stimulating environment where you will continuously learn, grow, and shape how AI is operationalised in practice.
• Access to Metyis' global community of AI and digital experts.

What you will do

• Translate business requirements into detailed technical specifications for AI use cases and workflows, working in close collaboration with business and technical stakeholders.
• Identify opportunities to transform existing business challenges into AI-powered solutions, applying creative problem-solving and domain knowledge.
• Define and manage acceptance testing, non-regression protocols, and quality assurance processes to ensure AI solutions perform as expected in production.
• Produce clear marketing and communication deliverables such as documentation, presentations, and user guides that support adoption and change management.
• Coordinate and monitor AI project implementations in close collaboration with relevant local and central stakeholders, ensuring timelines, budgets, and scope are respected.
• Embed data governance principles into AI product delivery, ensuring clear data ownership, appropriate data quality, definitions, and governance requirements are considered throughout the product lifecycle.
• Oversee the seamless integration and management of AI systems in production, coordinating between data teams, IT, and operational users.
• Work with business, data, IT, privacy, and other relevant stakeholders to identify and address data governance gaps that could impact the development, deployment, or responsible use of AI solutions.
• Track the performance of deployed AI solutions, identify issues or improvement opportunities, and feed insights back into the product roadmap.
• Participate in, and potentially lead, dedicated project governance forums, representing both the product and the client success dimension.

What you will bring

• 3 to 5 years of experience in project management, product management, or a business analyst role, with direct exposure to AI or technology-driven projects.
• Strong ability to bridge the gap between technical teams and business stakeholders, translating complex requirements in both directions.
• Solid understanding of AI concepts, tools, and workflows, sufficient to engage meaningfully with data scientists, engineers, and architects.
• Practical experience with data governance or data management principles, including data ownership, data quality, definitions, and governance processes within technology or data-driven projects.
• Experience with agile methodologies, product backlogs, and sprint-based delivery.
• Excellent organizational skills and the ability to manage multiple workstreams simultaneously in a fast-paced environment.
• Experience prioritising features or use cases based on user value, technical feasibility, and ROI.
• Ability to manage stakeholder expectations in complex environments.
• Ability to translate data governance requirements into practical ways of working across business and technical teams, ensuring they are embedded into AI product delivery rather than treated as a separate activity.
• Strong written and verbal communication skills, including the ability to produce professional documentation and presentations.
• A client-focused mindset with a genuine interest in ensuring end-users derive real value from AI products.
• Fluency in English.
• Experience in international, consulting, or scale-up environments is a plus.