Job Description
Product Owner
Enterprise AI Assistant & Agent Platform
Engagement Freelance / contract
Duration 16 months
Working model Hybrid — 50% on site (Brussels), 50% remote
Sector Financial services (regulated environment)
Languages English fluent (required); Dutch and/or French an advantage
Mission context
Our client, a leading financial institution, operates an enterprise AI assistant and agent platform that enables employees to access knowledge, automate tasks, collaborate with AI agents, and increase productivity in a secure and responsible way.
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 Scrum Product Owner, SAFe Product Owner / Product Manager, Agile Product Management, or AI / Data Analytics / Digital Transformation certifications.
Technical experience
Mandatory
- Product Management and Agile delivery
- Generative AI and Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval
- AI agent and multi-agent orchestration concepts
- Prompt engineering and conversational design
- AI guardrails, content filtering, and safety mechanisms
- AI evaluation frameworks — quality, grounding, hallucination, accuracy, relevance
- AI observability, monitoring, and performance measurement
Preferred
- Responsible AI principles, AI governance, and risk management
- API-based integrations and AI ecosystem architecture
- Enterprise AI platforms and copilots
- Agentic AI solutions
- Microsoft Copilot ecosystem
- Data analytics and experimentation frameworks
- Enterprise software delivery
Business experience
Mandatory
- Strategic product management
- Stakeholder management at senior leadership level
- Budget and investment management
- Change management and adoption programmes
- Business case development and value realisation tracking
- Experience working in a regulated environment
Preferred
- Experience within a large international banking group
- Knowledge of banking products and processes
- Experience in AI transformation initiatives
Agile mindset
The Product Owner is fluent in Agile methodology and demonstrates:
- Strong customer and employee focus
- Curiosity and a continuous learning mindset
- Pragmatism and solution-oriented thinking
- Data-driven decision making
- Collaboration and a team-first attitude
- Adaptability in a fast-changing AI landscape
- Openness to feedback and continuous improvement
- Ownership, accountability, and a bias for action