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SASAP

.AI Data Lead - SAP-RPT Model Family(m/w/x)

München
Full-timeOn-siteSenior

Developing and executing data strategy for SAP's relational business data, including pre-training and evaluation. Profound understanding of SAP data and semantic models required. Flexible working models, skill growth opportunities.

Requirements

  • PhD or Master’s degree in Computer Science, AI, or relevant field
  • Leading large-scale, end-to-end technical projects
  • Profound understanding of SAP’s relational business data
  • Excels at navigating semantic models (VDM, CDS, OData)
  • Sophisticated understanding of complex business logic and relational schemas
  • Extensive experience with high-performance databases (SQL)
  • Extensive experience with SAP’s data stack (BDC, HANA & BTP)
  • Experience with development of cloud-native pipelines
  • Strong Python skills
  • Exposure to Knowledge Graphs (incl technologies like RDL)
  • Solid ML knowledge
  • Practical experience solving real-world problems with AI
  • Ability to build partnerships with internal technology providers
  • Lead cross-team technical initiatives and task prioritization

Tasks

  • Own pre-training, evaluation, and meta-data
  • Develop and execute data strategy
  • Lead data extraction, curation, and quality analysis
  • Set technical priorities and define work packages
  • Work with science leads to define data requirements
  • Co-design datasets to enhance model capabilities
  • Build alliances with internal data and technology providers
  • Explore and analyze datasets for patterns and issues
  • Influence data architecture for seamless access
  • Ensure industry-leading compliance standards
  • Coordinate with multinational stakeholders
  • Contribute to foundation model research and engineering

Work Experience

  • 7 years

Education

  • Doctoral / PhD

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • SAP
  • VDM
  • CDS
  • OData
  • SQL
  • BDC
  • HANA
  • BTP
  • Python
  • RDL
  • AI
  • ML

Benefits

Learning & Development

  • Constant learning
  • Skill growth

Informal Culture

  • Inclusive culture

Healthcare & Fitness

  • Health and well-being focus

Flexible Working

  • Flexible working models
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