AI Data Lead - SAP-RPT Model Family (f/m/d)

You’ll find a place where you can be yourself, prioritize your wellbeing, and truly belong. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you’ll do

As the AI Data Lead for the SAP‑RPT model family, you will own our data assets, drive the strategy to grow the asset base and ensure best usability and highest value for our foundation model research & engineering teams. Bridging the gap between AI research and enterprise data intricacies, you will set the vision and drive technical priorities. You will enable our research & engineering teams to build best‑in‑class AI models through providing the best data foundation, while ensuring adherence to SAP’s unwavering commitment to industry‑leading compliance standards. You will work hands‑on on data, processing pipelines and tooling as well as coordinate with a multitude of stakeholders in a multi‑national company to achieve your goals. This is the ideal role for a highly focused, ambitious individual with both a strong technical and coordinating background and your chance to contribute to one of the very few leading foundation models of European origin.

The Role

• Ownership of Data Assets & strategy: Own pre‑training, evaluation, and meta‑data including proprietary, open‑source, and synthetic datasets. Develop and execute vision.
• End‑to‑End Execution: Lead data extraction, curation, and quality analysis to produce high‑impact training signals. Set technical priorities and define work packages across teams to ensure high‑quality outcomes.
• Drive Partnership: Work closely with science leads to define data requirements and co‑design the datasets necessary to push model capabilities. Build strong alliances with internal data and technology providers.
• Deep‑Dive Data Exploration: Explore and analyze datasets to identify patterns, edge cases, and quality issues that inform model development.
• Data Architecture: Influence data architecture decisions to ensure seamless data access for both model training and production environments.

What You Bring

• Education & Experience: PhD or Master’s degree in Computer Science, AI, or a relevant field, followed by 7+ years of professional experience in high‑scale data environments.
• Functional Leadership: Proven track record of leading large‑scale, end‑to‑end technical projects, ideally with data and machine learning deliverables.
• SAP Data Expertise: Profound understanding of SAP’s relational business data, including key business objects and underlying table structures. You excel at navigating semantic models (e.g., VDM, CDS, OData) and possess a sophisticated understanding of the complex business logic and relational schemas inherent in the enterprise landscape.
• Data Engineering & SAP Ecosystem: Extensive experience with high‑performance databases (SQL) and SAP’s data stack (e.g. BDC, HANA & BTP) as well as with the development of cloud‑native pipelines. Strong Python skills and ideally exposure to Knowledge Graphs (incl technologies like RDL).
• Machine Learning Skills: Solid ML knowledge with practical experience in solving real‑world problems with AI – ideally in the tabular domain.
• Organizational Influence: Ability to build partnerships with internal technology providers and lead cross‑team technical initiatives and task prioritization.

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