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Manager SAP AI & Data Engineering

Company Description

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.

Job Description

Your challenges

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.

Qualifications

  • 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.

Additional Information

  • Gross salary between € 5.100 and € 6,250 per month depending on your work experience, variable performance based reward, a fixed expense allowance and a fixed working from home allowance per working day.
  • 30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days.
  • At KPMG we work hybrid, so you can work from home or at the office.
  • A completely furnished home office.
  • A lease car or a mobility budget.
  • A laptop and iPhone.
  • Choice to pick from different courses which contribute to your own personal and professional development.
  • Diversity networks in the areas of pride, gender, ability, cultural diversity, and generations that regularly organize various activities to celebrate differences!
  • Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs.
  • ‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues.

Skills

  • SAP
  • AI Engineering
  • Data Engineering
  • Enterprise Architecture
  • Project Management
  • Client Engagement
  • Team Leadership

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