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Product Owner

Customer: BNP Paribas Fortis Koningsstraat 97 1000 Brussels België
Dates: 2026-08-17 2027-12-31
Arrangements: 50% on site & 50% homeworking
Apply before: 2026-08-20

Description

Yara is BNP Paribas Fortis’ enterprise AI assistant and agent platform, designed to help employees access knowledge, automate tasks and collaborate with AI agents. The Expert Product Owner acts as the voice of users, business stakeholders and the bank’s AI transformation strategy. The role owns Yara’s vision, strategy and roadmap and translates strategic objectives into an actionable backlog. Success is measured through adoption, satisfaction, productivity and business value.

The Product Owner works closely with the Scrum Master, development teams, business stakeholders, Data & AI teams and governance functions. The role defines features, user stories and acceptance criteria, prioritizes delivery, validates sprint outputs and makes scope trade-offs. It also builds alignment across Risk, Legal, Compliance, HR and the Transformation Office. Governance forums and strategic AI discussions are an important part of the remit.

The assignment combines product leadership with advanced enterprise AI. It covers generative AI, LLMs, RAG, AI agents, prompt engineering, guardrails, evaluation and observability while requiring strong Responsible AI and regulatory discipline. The Product Owner drives adoption, monitors product and business KPIs, and continuously improves Yara based on feedback and usage insights. The working model is 50% on site in Brussels and 50% homeworking.

Top Reasons to Apply
Lead enterprise AI
Shape agentic AI
Drive bank transformation
Own strategic roadmap
Build Responsible AI
Responsibilities
Define product vision strategy roadmap
Translate objectives into product backlog
Identify AI productivity opportunities
Drive Yara capability development
Ensure strategic compliance alignment
Monitor AI trends employee needs
Own Yara Product Backlog
Define objectives features user stories
Must Have
Strong customer and employee focus
Curiosity and continuous learning mindset
Pragmatism and solution-oriented thinking
Data-driven decision making
Collaboration and team-first attitude
Adaptability in fast-changing AI landscape
Openness to feedback and continuous improvement
Ownership, accountability, bias for action
Nice to Have
Dutch language
French language
Certified Scrum Product Owner, SAFe Product Owner/Product Manager, Agile Product Management, AI/Data Analytics or Digital Transformation certification
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
Knowledge of BNP Paribas Group
Knowledge of banking products and processes
Experience in AI transformation initiatives

Detailed Responsibilities and Skills

Additional Responsibilities

  • Prioritize developments by value impact feasibility risk regulation
  • Ensure team understands requirements outcomes
  • Validate functionalities accept deliverables
  • Make prioritization scope decisions
  • Build cross-functional stakeholder partnerships
  • Align stakeholders around vision roadmap
  • Gather consolidate prioritize user feedback
  • Represent Yara in governance forums
  • Act as product decision contact
  • Drive Yara agent adoption engagement
  • Define monitor product business KPIs
  • Monitor Monthly Active Users
  • Monitor Weekly Active Users
  • Monitor conversations interactions
  • Monitor user satisfaction
  • Monitor value realization productivity gains
  • Monitor agent adoption usage metrics
  • Ensure investments deliver business outcomes
  • Promote user-centric continuous improvement
  • Lead refinement planning prioritization
  • Participate in Scrum ceremonies
  • Assess feedback usage functionality
  • Foster experimentation learning delivery
  • Ensure quality stability release consistency
  • Ensure Responsible AI regulatory compliance
  • Balance innovation risk governance
  • Collaborate on trustworthy AI deployment
  • Promote AI transparency explainability responsibility

General skills

  • Strong customer and employee focus
  • Curiosity and continuous learning mindset
  • Pragmatism and solution-oriented thinking
  • Data-driven decision making
  • Collaboration and team-first attitude
  • Adaptability in fast-changing AI landscape
  • Openness to feedback and continuous improvement
  • Ownership, accountability, bias for action
  • English fluent written and spoken
  • Master's degree or equivalent experience in Business, Technology, Engineering, Computer Science, Data & AI, or related fields
  • At least 6 years Product Ownership/Product Management
  • Proven Agile product delivery experience
  • Strategic product management
  • Senior leadership stakeholder management
  • Budget and investment management
  • Change management and adoption programs
  • Business case development and value realization tracking
  • Experience working in a regulated environment
  • Strategic thinking and long-term product vision
  • Strong communication and storytelling skills
  • Leadership without formal authority
  • Excellent stakeholder management and influencing skills
  • Analytical and problem-solving mindset
  • User-centric approach
  • Structured and organized way of working
  • Results-oriented and impact-focused
  • Ability to navigate ambiguity and complexity
  • Strong collaboration and team-building capabilities
  • Commitment to innovation, continuous improvement, and Responsible AI principles
  • Dutch language
  • French language
  • Certified Scrum Product Owner, SAFe Product Owner/Product Manager, Agile Product Management, AI/Data Analytics or Digital Transformation certification
  • Knowledge of BNP Paribas Group
  • Knowledge of banking products and processes

Technical skills

  • 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
  • Responsible AI principles, AI governance, and risk management
  • API-based integrations and AI ecosystem architecture
  • Enterprise AI platforms and copilots
  • Agentic AI solutions
  • Data analytics and experimentation frameworks
  • Enterprise software delivery
  • Experience in AI transformation initiatives

Tools

  • Microsoft Copilot ecosystem