Tech Stack
Job Description, Responsibilities & Requirements
About the Position
AI Data Lead - SAP-RPT Model Family (f/m/d)
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Responsibilities
As the AI Data Lead for the SAP-RPT model family, you will:
- 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.
Requirements
- 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.
We Offer
- Inclusion and Well-being: SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best.
- Professional Growth: At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential.
- Competitive Benefits: Join a company that offers great benefits and a team that wants you to grow and succeed.
About the Company
SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the business processes that run the world. Our team’s mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a domain where SAP’s expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, bridging the gap between cutting-edge AI research and the complex, structured reality of global enterprise data.
Location: Garching bei München (Munich), DE
Requisition ID: 447798
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time
Core Skills: SAP, Data Engineering, Machine Learning, Python, SQL