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Are you a strategic road manager with a passion for data, AI, and privacy? Do you want to help Rabobank unlock the full potential of GenAI by ensuring the availability of high-quality, governed, and AI-ready data? Then we are looking for you!

As Road Manager AI Ready Data, you are responsible for bringing together the right expertise areas across the CDAO domain to ensure alignment and progress on this critical initiative. You will coordinate and facilitate collaboration between teams working on data protection, metadata management, data quality, D&A Products and Platform capabilities. A key part of your role is to ensure that strategic goals are translated into concrete deliverables and embedded in the backlogs of the relevant departments. You will also be responsible for creating transparency around progress, risks, and dependencies, ensuring that we, as a CDAO domain, take the necessary steps this year to embed AI Ready Data into business-as-usual operations.

Responsibilities:
• Translate strategic goals into concrete deliverables and ensure they are reflected on the backlogs of the responsible teams.
• Develop a clear and aligned roadmap for the remainder of 2025 and 2026 at the CDAO level, including ownership of deliverables.
• Coordinate the AI Ready Data roadmap and ensure alignment across workstreams and domains.
• Facilitate collaboration between Area Leads (Product Leads), Chapter Leads, and other stakeholders within the CDAO domain.
• Bring together expertise in data privacy, metadata, data quality, and data product development to drive collective progress.
• Provide strategic advice and organize knowledge sharing on best practices related to AI Ready Data.
• Promote transparency around program progress, risks, and adoption metrics.
• Communicate strategy and progress effectively to senior management.
• Ensure that by the end of the year, AI Ready Data is embedded in standard operations and no longer requires additional oversight.

Your Profile:
• Master degree
• 5+ years of experience in roadmap or program management in data-intensive and regulated environments.
• Strong coordination and stakeholder management skills, with the ability to align diverse teams.
• Experience working in large, complex organizations with multiple domains and priorities.
• Familiarity with data governance, metadata management, and AI enablement.
• Understanding of the challenges of unstructured data and privacy risk management.
• Proactive, structured, and facilitative leadership style.

What We Offer:
• A high-impact assignment at the intersection of data, AI, and compliance.
• The opportunity to shape how Rabobank becomes AI-ready through scalable and secure data practices.
• A collaborative and innovative environment within a leading financial institution.