Financial Sector – Brussels- Hybrid – B2B – Attractive Rate – Long Term contract
Mission context
Yara is enterprise AI assistant and agent platform, enabling employees to access knowledge, automate tasks, collaborate with AI agents, and increase productivity in a secure and responsible way.
The Product Owner (PO) of Yara acts as the voice of the user, business stakeholders, and AI transformation strategy. The PO is accountable for maximizing the value delivered by Yara, defining and prioritizing the product roadmap, and ensuring that Yara 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 that Yara delivers measurable business value, driving adoption, user satisfaction, and productivity gains across the bank.
Function description:
Product Strategy & Roadmap:
- Define and continuously evolve the vision, strategy, and roadmap of Yara.
- Translate strategic objectives into a prioritized and actionable product backlog.
- Identify opportunities to increase employee productivity and business value through AI capabilities.
- Drive the development of core Yara capabilities, contextual agents, AI use cases, and agent ecosystems.
- Ensure alignment between Yara’s evolution and BNP Paribas Fortis’ AI strategy, business objectives, and compliance requirements.
- Monitor market trends, emerging AI technologies, and employee needs to idintify innovation opportunities.
Product Ownership & Delivery:
- Own and maintain the Yara Product Backlog, ensuring priorities maximize value delivery.
- Define product objectives, features, user stories, and acceptance criteria.
- Prioritize 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 functionalities and formally accept sprint deliverables.
- Make prioritization and scope decision when 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 Transformation Office.
- Align stakeholders around a shared vision and roadmap.
- Gather, consolidate, and prioritize feedback from end users and business departments.
- Represent Yara in governance forums, steering committees, and strategic AI discussions.
- Act as the primary point of contact for product-related decisions.
Adoption, Value Realization & Performance Management
- Drive adoption and engagement of Yara and 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 realization 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 prioritization activities.
- Actively participate in Scrum ceremonies (planning, review, retrospectives, demos, and backlog refinement sessions).
- Continuously assess feedback, usage insights, and delivered functionality to improve the product.
- Foster experimentation, learning, and iterative delivery.
- Ensure product quality, operation stability, and consistency across releases..
Responsible AI & Risk Management
- Ensure Yara 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.
Agile requirements
The Yara Product Owner is fluent in Agile methodology and demonstrates:
- 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 a fast-changing AI landscape.
- Openness to feedback and continuous improvement.
- Ownership, accountability, and bias for action.
Technical experience – mandatory
At least 6 years of Product Ownership/Product Management, proven experience delivering products using Agile methodologies
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
Business experience – mandatory
Strategic product management
Stakeholder management at senior leadership level
Budget and investment management
Change management and adoption programs
Business case development and value realization tracking
Experience working in a regulated environment
Soft skills
Strategic thinking and ability to define 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
If interested apply ASAP