BCG

Lead AI Tech Architect (ERP/SAP) - Amsterdam | BCG Platinion

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2 months ago
Amsterdam, NetherlandsStaff+

Responsibilities

  • Define and own SAP technical and solution strategies, including S/4HANA adoption and phased rollouts.
  • Design SAP target landscapes using a lean ERP core integrated with satellite SAP solutions.
  • Lead architectural decisions across manufacturing, sales, supply chain, asset management, finance, and other lines of business.
  • Architect SAP integrations using SAP BTP, Integration Suite, and middleware, and oversee data migration strategies.
  • Define SAP data architecture covering master data governance, BW/4HANA, DataSphere, and SAC reporting.
  • Ensure solution designs meet SAP and industry standards for performance, security, quality, and maintainability.
  • Advise program leadership and senior business stakeholders on architecture strategy and business outcomes.
  • Identify AI-driven value levers and incorporate AI capabilities into ERP transformation business cases and roadmaps.
  • Lead solution design for large-scale, multi-module ERP transformations.
  • Travel worldwide to client engagements as needed.

Requirements

  • 10+ years of experience in SAP architecture and delivery.
  • Previous or current consulting industry experience is required.
  • Proven experience designing multi-module SAP solutions and large-scale ERP transformations.
  • Expertise in S/4HANA adoption strategies and integration architecture.
  • Experience with master data governance and analytics platform design.
  • Relevant SAP architecture or module certifications.
  • Knowledge of SAP lines of business including manufacturing, sales, finance, and supply chain.
  • Expertise with SAP BTP, Integration Suite, middleware, MDG, BW/4HANA, DataSphere, and SAC reporting.
  • Ability to define SAP target landscapes and technical roadmaps and advise senior stakeholders.
  • Ability to translate technical designs into business outcomes and maintain strong governance and quality assurance.
  • Ability to identify AI-driven value levers, including predictive analytics, intelligent automation, process mining, and GenAI-enabled user interaction.
  • University degree in a STEM-related field or business management; advanced degrees such as an MBA or MSc are noted as relevant.
  • Ability to work under pressure and willingness to travel worldwide to clients.

Benefits

  • Individual learning opportunities and recognized certifications.
  • Collaborative, open culture with support from experienced colleagues and opportunities to develop professional strengths.
  • High-impact client challenges and opportunities to work with C-suite leaders and interdisciplinary technical experts.

Categories

Solutions Engineering
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