Product Owner

Product Owner

Engagement

Freelance / contract

Languages

English fluent (required); Dutch and/or French an advantage

Mission context

The Product Owner acts as the voice of the user, the business stakeholders, and the wider AI transformation strategy. The PO is accountable for maximising the value delivered by the platform, defining and prioritising the product roadmap, and ensuring the platform evolves in line with business needs, technology opportunities, Responsible AI principles, and strategic objectives.

Working closely with the Scrum Master, development teams, business stakeholders, AI governance bodies, and adoption leads, the PO ensures the platform delivers measurable business value; driving adoption, user satisfaction, and productivity gains across the organisation.

Responsibilities

Product strategy & roadmap

• Define and continuously evolve the vision, strategy, and roadmap of the platform.
• Translate strategic objectives into a prioritised and actionable product backlog.
• Identify opportunities to increase employee productivity and business value through AI capabilities.
• Drive the development of core platform capabilities, contextual agents, AI use cases, and agent ecosystems.
• Ensure alignment between the platform's evolution and the organisation's AI strategy, business objectives, and compliance requirements.
• Monitor market trends, emerging AI technologies, and employee needs to identify innovation opportunities.

Product ownership & delivery

• Own and maintain the product backlog, ensuring priorities maximise value delivery.
• Define product objectives, features, user stories, and acceptance criteria.
• Prioritise developments based on business value, user impact, technical feasibility, risk, and regulatory requirements.
• Ensure the development team fully understands business requirements and expected outcomes.
• Validate delivered functionality and formally accept sprint deliverables.
• Make prioritisation and scope decisions where trade-offs are required.

Stakeholder & ecosystem management

• Build strong partnerships with business stakeholders, AI SPOCs, IT teams, Data & AI teams, Risk, Legal, Compliance, HR, and the Transformation Office.
• Align stakeholders around a shared vision and roadmap.
• Gather, consolidate, and prioritise feedback from end users and business departments.
• Represent the platform in governance forums, steering committees, and strategic AI discussions.
• Act as the primary point of contact for product-related decisions.

Adoption, value realisation & performance management

• Drive adoption and engagement of the platform and its associated contextual agents.
• Define and monitor business and product KPIs, including:
• Monthly Active Users (MAU)
• Weekly Active Users (WAU)
• Number of conversations and interactions
• User satisfaction
• Value realisation and productivity gains
• Agent adoption and usage metrics
• Ensure product investments translate into measurable business outcomes.
• Promote a user-centric culture focused on continuous improvement and value delivery.

Agile delivery & continuous improvement

• Lead backlog refinement, sprint planning, and prioritisation activities.
• Actively participate in Scrum ceremonies — planning, review, retrospectives, demos, and backlog refinement.
• Continuously assess feedback, usage insights, and delivered functionality to improve the product.
• Foster experimentation, learning, and iterative delivery.
• Ensure product quality, operational stability, and consistency across releases.

Responsible AI & risk management

• Ensure the platform complies with internal policies, Responsible AI principles, data protection requirements, and applicable regulations.
• Balance innovation with risk management and governance requirements.
• Collaborate with model governance, security, legal, and compliance teams to ensure trustworthy AI deployment.
• Promote transparency, explainability, and responsible use of AI capabilities.

Requirements

Experience

• Minimum 6 years in Product Ownership / Product Management, with proven experience delivering products using Agile methodologies.

Education

• Master's degree or equivalent experience in Business, Technology, Engineering, Computer Science, Data & AI, or a related field.

Languages

• English — fluent, written and spoken (required)
• Dutch — an advantage
• French — an advantage

Certifications (preferred)

Certified Sc