Experienced Product Owner NN Agentic AI Platform (Freelance)

Synera is NN Group’s flagship program to redefine the future of insurance through AI and data. The next two years are pivotal: we’re moving from fragmented AI adoption to a governed, scalable Agentic AI ecosystem that accelerates innovation across all business units. This is not just about automation, it’s about augmenting human decision-making, enabling real-time personalization, and unlocking new value pockets in underwriting, claims, and customer service.

Are you a highly motivated and experienced Product Owner looking for an exciting opportunity? At NN, we are committed to becoming a data-driven company, and we need you to help us achieve this goal. As the Product Owner of NN Agentic Platform, you will play a crucial role in delivering the NN Group wide adopted NN Data Intelligence Platform that empowers our business by unlocking the full potential of Agentic AI. In this role, you will also prepare your successor to be able to take over the baton from you.

If you have a strong understanding of agile methodologies, excellent communication skills, and a passion for innovation, we want to hear from you!

What you are going to do

• Shape the roadmap for agentic, GenAI, and AI platforms, aligning with NN Group’s AI strategy to give clarity to the teams
• Define and prioritize the product backlog based on customer needs and business goals/OKRs
• Collaborate closely with the development team and other IT teams to ensure the timely delivery of high-quality products. This includes hosting sprint planning, sprint reviews, PO board meetings, standup meetings, customer workshops, and training sessions on the product
• Coordinate with other platform owners (e.g., data, security, Infra and business) to ensure seamless integration. Take responsibility as an asset owner to ensure order, security, and cost optimization
• Communicate effectively with stakeholders, including customers, team members, and management
• Monitor and report on product performance, making recommendations for improvements

Domain / Tech Stack:

• Runtime: Databricks Mosaic AI, Kubernetes (K8s), dual runtime for agent execution, Seldon
• Governance: Unity Catalog, Collibra (metadata, lineage, access control)
• Model Ops: MLflow, Mosaic Model Serving (registry, tracking, inference)
• Orchestration: WSO2, Airflow (API management, scheduling)
• Storage: Delta Lake, Feature Store (data for models and agents)
• Monitoring: Lakeview, Prometheus, Grafana (metrics and tracing)
• Integration: Kafka, Flink (event-driven AI triggers)
• Experience: Databricks Apps, PowerApps (self-service agent UIs)

What we offer you

• Competitive hourly rate depending on your knowledge and experience
• A one year assignment until December 2026
• Hybrid way of working, partly from home and partly from the office in The Hague
• International working environment with loads of knowledge sharing

Who you are

• Over 5 years’ experience in product ownership, data & AI platform management, or cloud solutions
• Strong track record in helping colleagues grow and in sharing your knowledge and experience
• Excellent stakeholder management, negotiation, and influencing skills across IT and business teams
• Proficient in Azure Data Services (Mosaic, Databricks, Unity Catalog) and knowledgeable about data security, compliance, and governance
• Strong analytical skills for prioritising features based on impact, feasibility, and risk

Who you will work with

You will work closely with a junior product owner, whom you will mentor and prepare to fully take over the role in the future. The development team is a mixed team of internal and external colleagues working in The Netherlands and in our Digital Hubs in Madrid and Prague.

In this role, you will work with a diverse and international team that embodies NN's core values of Care, Clear, and Commit. Our team operates in an agile environment with two-week sprints and consists of two squads serving both Dutch and international business units. This structure allows us to focus on customer needs with a T-shaped team of data and infra cloud platform engineers working together as one unit. With full autonomy, the team decides on the technical approach and delivers value with a quality-first mindset.