S
$244,700 – $553,900
Listed on SAP’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead SAP's Data Science and AI strategy for the Business Network, building foundational data infrastructure and reasoning engines while managing multiple technical teams. This role suits experienced data science leaders who want to shape AI systems at enterprise scale and mentor high-performing teams.
Our summary, not SAP’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Kafka
- Data Architecture
- Databricks
- Generative AI
- LLMs (Large Language Models)
- Machine Learning
- Microsoft Azure
- MLflow
- MLOps
- Prompt Engineering
- Python
- Retrieval-Augmented Generation (RAG)
- SAP Datasphere
- Snowflake
- SPARK
- SQL
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What they ask for
Required
- Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related quantitative field
- 8+ years of progressive experience in Data Science, Machine Learning, or related technical fields
- 3+ years of experience managing and leading technical teams, including senior individual contributors and team leads
- Proven track record of delivering large-scale ML/AI solutions in production environments
Nice to have
- Master's or PhD in a quantitative discipline
- Experience in B2B SaaS or enterprise software, ideally within SAP Business Network domain
- Hands-on experience with LLMs, generative AI, reasoning systems, or agentic AI architectures
- Deep expertise in data orchestration platforms, feature engineering at scale, and MLOps tooling
- Prior experience building or transforming teams in a high-growth or reorganization context
- Familiarity with SAP BTP, SAP AI Core, or SAP AI Foundation