Manager SAP AI & Data Engineering

Do you want to lead the delivery of scalable AI and data solutions within complex transformation programs and beyond? Are you equally comfortable shaping architecture, guiding multidisciplinary teams, and turning ideas into robust and scalable software products and services?

Join KPMG Netherlands as a Manager in the SAP AI team within our IT Platforms team and strengthen the technical depth of our AI-enabled SAP transformation services.

Manager SAP AI & Data Engineering

Your challenges

You will be part of a growing SAP AI team and work closely with colleagues across SAP, data, platforms, and technology consulting. You will:

• Lead client engagements and workstreams focused on AI-enabled transformation, data platforms, and software product delivery.
• Own the technical direction of solutions, review designs and implementation choices, and ensure alignment with enterprise architecture and quality standards.
• Structure delivery teams, coordinate dependencies, and maintain control over scope, planning, risks, quality, and outcomes.
• Work with clients to identify high-value AI use cases and convert them into scalable solutions integrated with SAP and the wider technology landscape.
• Support workshops, proposals, and client conversations with a strong point of view on AI, data, architecture, and engineering.
• Coach consultants and technical specialists, build reusable knowledge, and contribute to the growth of KPMG’s AI-enabled SAP proposition.
• Stay current on developments in AI engineering and SAP Business AI, and translate relevant innovations into practical client value.

This is what you bring

• A completed university Master’s degree, preferably in computer science, data science, artificial intelligence, software engineering, information systems, or a related field.
• Proven experience in managing complex AI, data, analytics, or software delivery programs in a consulting or enterprise environment.
• Strong experience in designing, building, deploying, and maintaining software products and services, including architectural decision-making and lifecycle ownership.
• Solid understanding of modern AI and data architectures, software engineering practices, integration patterns, cloud platforms, and operational considerations.
• Experience with ERP systems and large-scale transformation programs, with specific knowledge of SAP environments and implementation contexts.
• Affinity with, and practical exposure to, SAP’s AI proposition and the application of AI within SAP-enabled business processes.
• Ability to lead technical teams, coach colleagues, manage delivery risks, and communicate complex topics clearly to senior client stakeholders.
• A hands-on, outcome-oriented mindset, combined with commercial awareness and the ability to identify and shape new opportunities.
• Proficiency in English; knowledge of Dutch is an advantage.

Not sure whether to apply because you don’t meet every requirement? If this role excites you and you see yourself in the profile, we’d love to hear from you. Because we believe talent grows and shows up in many different ways.

What will you do?

As a Manager SAP AI & Data Engineering, you will lead complex AI and data initiatives from concept through implementation and operations. You will safeguard architectural quality, scalability, and maintainability, while connecting AI engineering with ERP-driven business transformation. You will focus on:

• Leading complex AI and data programs across the full delivery lifecycle, from design and planning to implementation, adoption, and continuous improvement.
• Driving the evolution and technical advancement of our SAP Business AI landscape to enable and deliver scalable and innovative solutions for clients.
• Defining solution architectures and technical standards for secure, scalable, and maintainable AI-enabled products.
• Translating business and transformation requirements into pragmatic technical roadmaps, product backlogs, and delivery plans.
• Guiding the design, build, deployment, and maintenance of software products and services, as well as reusable AI accelerators.
• Embedding AI into SAP transformation programs and connecting SAP capabilities with broader data, cloud, and enterprise architectures.
• Managing multidisciplinary teams and aligning stakeholders across business, technology, architecture, security, and delivery.
• Driving engineering quality through sound governance, testing, monitoring, documentation, and responsible AI practices.