Product Owner (IT) – Expert

RMM Consulting Group; Brussel Hoofdstad; Sur place; EUR 90 000 - 125 000; Plein temps

Résumé du poste

BNP Paribas Fortis seeks a Product Owner for its Yara platform to maximize business value through AI-enabled capabilities. You will own the product backlog, translate strategy into actionable backlog items, and align with governance and risk controls.

The role demands close collaboration with business, IT, and AI governance teams to drive measurable outcomes. You will champion user-centric design, monitor adoption, and guide the team through agile ceremonies, ensuring quality, compliance, and

Qualifications

• At least 6 years of Product Ownership/Product Management experience in an Agile setting.
• Proven ability to translate strategy into a prioritized backlog and measurable outcomes.
• Experience with AI products, governance, and risk/compliance considerations.

Responsabilités

• Define and evolve the Yara product vision, strategy, and roadmap.
• Prioritize features, user stories, and acceptance criteria for maximal value.
• Engage stakeholders across IT, Risk, Legal, Compliance, and HR.
• Drive adoption, track KPIs, and ensure value realization.
• Lead backlog refinement, sprint planning, and delivery ceremonies.

Connaissances

Product ownership

Agile delivery

Stakeholder management

Leadership without authority

Analytical mindset

Strategic thinking

Customer focus

Collaboration

Description du poste

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.

• 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.
• 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.
• 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

• 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