Senior Delivery Lead / Product Owner (Enterprise AI)

About the Role

Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention. Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments.

We are looking for a Senior Delivery Lead / Product Owner to drive day-to-day execution of enterprise AI initiatives, manage client relationships, and ensure clear alignment between business priorities and technical delivery. The role combines agile delivery leadership, backlog ownership, stakeholder management, resource planning, and AI/LLM project execution.

CONTRACT: Contractor assignment, expected October 2026 – July 2027, with potential extension

COMMITMENT: Full-time

LOCATIONS: Europe-based, preferably the Netherlands or close; Occasional visits required.

PROCESS: Initial qualification followed by technical and client interviews

NOTES: Fluent English and Dutch are required.

Responsibilities

• Manage day-to-day agile delivery across AI project workstreams.
• Run sprints, stand-ups, sprint reviews, and retrospectives.
• Serve as Product Owner, managing and prioritizing the backlog, user stories, and release roadmap.
• Act as the main operational contact for Dutch client stakeholders.
• Provide clear progress updates, delivery status, and risk visibility.
• Bridge communication between CEE-based technical squads and Dutch business or compliance teams.
• Identify and remove delivery blockers and cross-team dependencies.
• Manage resource planning, timelines, and risk-mitigation actions.
• Coordinate client sign-off and release-readiness activities.
• Ensure delivery remains aligned with business priorities, quality expectations, and project milestones.

Requirements

• Senior-level experience in delivery management, product ownership, project management, or agile delivery.
• Proven experience running complex enterprise technology projects across multiple stakeholders.
• Hands-on experience managing product backlogs, user stories, sprint planning, and release roadmaps.
• Experience delivering projects that integrate AI/LLMs into enterprise processes.
• Strong client-facing experience, including status reporting, expectation management, and issue resolution.
• Experience coordinating distributed technical and business teams.
• Strong understanding of agile delivery practices and software development lifecycles.
• Fluent professional English.