Test Project Manager (Enterprise Test Management Process Roll-out with AI)

ABN AMRO Clearing is a global provider of clearing services, serving clients across international markets. Technology is central to the organisation, with product and platform teams operating across multiple regions to deliver resilient, secure and high-quality services. Development Services enables teams to adopt standardized platforms, standardized pipelines, and standardized developer experience. The team owns Test Management as a capability and process and is driving consistent testing practices across ABN AMRO Clearing.

As Test Project Manager, you will lead the enterprise roll-out of the new Test Management Process across ABN AMRO Clearing. You will translate the agreed Test Management Process, test strategy, standards and controls into an executable transformation roadmap, coordinate adoption across product and platform teams, and use approved AI capabilities to accelerate test design, automation, analysis and reporting while maintaining human oversight and risk control.

This is a senior delivery and change-leadership role. It combines programme governance, stakeholder management, test-management expertise and sufficient technical depth to challenge delivery teams and guide pragmatic implementation.

Key responsibilities include: leading the enterprise-wide rollout of the Test Management Process, including planning, governance, milestones, risks, dependencies, and adoption across teams; translating the Test Management Process, standards, and strategy into practical implementation plans covering testing, environments, test data, reporting, evidence management, and quality controls; driving implementation activities, capturing lessons learned, and establishing a repeatable rollout model for product and platform teams; coordinating stakeholders across Engineering, Architecture, Security, Risk, Compliance, and Leadership, ensuring effective governance and decision-making; driving adoption of standardized test management practices, automation tooling, reusable frameworks, and CI/CD quality gates; integrating AI-assisted testing into the process, including test design, test generation, exploratory testing, defect analysis, and reporting; defining management dashboards and reporting for progress, adoption, quality, risks, benefits, and delivery status; delivering communications, training, coaching, documentation, and community activities, including leadership of the Test Circle; and embedding ownership, controls, support, and continuous improvement into business-as-usual operations.

The AI-Enabled Test Management Focus includes identifying and prioritizing high-value AI use cases across the testing lifecycle, defining measurable success criteria and tracking AI-driven improvements while maintaining quality and control, promoting responsible AI adoption and compliance with security, privacy, and governance requirements, establishing reusable AI practices, generated test assets, and knowledge-sharing mechanisms across teams, and collaborating with engineering teams to integrate AI-assisted testing into GitLab workflows and standardized CI/CD pipelines.

The required experience includes proven success leading enterprise or multi-team test transformation, quality engineering, technology change, or process roll-out programmes; strong knowledge of test management, strategy, automation, environments, test data, defect management, quality gates, and evidence-based assurance; experience in Agile and DevOps environments with CI/CD pipelines (GitLab experience preferred); practical knowledge of AI-assisted software engineering or testing, including benefits, limitations, evaluation, and responsible-use controls; experience introducing processes and tools across autonomous teams in complex, regulated, international organisations; ability to define measurable outcomes and translate delivery data into concise executive reporting; experience with cloud and modern engineering platforms (AWS and OpenShift exposure beneficial); and financial services, clearing, or other regulated-industry experience is preferred.

The ideal profile is a senior, outcome-oriented project leader who creates clarity and takes ownership in complex environments, credible with engineers and effective with senior stakeholders, risk functions, and business representatives, with strong facilitation, negotiation, communication, and change-management skills across cultures and regions, analytical and pragmatic, balancing speed, quality, control, and sustainable adoption, comfortable challenging assumptions, resolving dependencies, and making risks transparent, curious about AI and emerging testing practices, with sound judgement and human accountability.

A relevant bachelor’s or master’s degree is required; project, programme, Agile, or testing certification is beneficial. The position is 36 hours per week, with a start date of 01 November 2026 and end date of 31 May 2027, extension possible. Hybrid working, ZZP is allowed, relocation is not possible. Vacancy number 4331.

Contact: [naam] A2Z-CM +31(0)20-3337629.