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Open nowPosted 30 days ago

Manager SAP AI & Data Engineering

EURES job mobility portal314,718 open roles

Where
Groot-Amsterdam, Netherlands
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Your applicationOpen nowManager SAP AI & Data EngineeringEURES job mobility portal · Groot-Amsterdam, Netherlands

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 30 days ago

The posting

KPMG as interim professional? Are you interested in the possibilities as an interim professional? Please contact us. - Discover life at KPMG But what does it truly mean to work at KPMG? Get inspired by stories, videos, and blogs from colleagues 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. Senior professional Advisory Amstelveen - Home > - Manager SAP AI & Data Engineering To vacancy overview Apply 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 clie...

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