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

Your tasks

What you`ll do:

As AI Data Lead for the SAP-RPT model family, you will own and grow the data assets underpinning our foundation model development. Working closely with scientists and engineers, you will translate evolving data needs and experimental insights into a clear short-term and long-term roadmap. You will shape priorities with internal data and technology providers, bring in new proprietary, open source and synthetic data sources, and enable their compliant use in collaboration with governance functions. The role combines strategic ownership, scientific partnership and cross-functional influence with occasional direct exploration and validation to stay close to the data.

The Role:

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.
• Scientific collaboration: Work closely with scientists to explore how additional data could improve model capabilities and translate experimental insights into concrete data needs.
• Partnership: Represent the team’s data needs, influence provider priorities and ensure delivery in the required scope and form.
• Governance: Enable compliant data use in collaboration with Legal, Data Protection and Privacy, and Licensing.
• Data exploration and validation: Stay close to the data through targeted hands-on exploration and validation, building a firsthand understanding of its characteristics, quality and suitability for model development.

Your profile

What you bring:

• Education & Experience: PhD or Master’s degree in Computer Science, AI, or a relevant field, followed by 5+ years of professional experience in data & AI environments.
• Functional leadership and collaboration: Experience leading cross-functional technical projects with data and ML deliverables, and alignment stakeholders.

Relational enterprise data: Strong understanding of relational data, schemas, business entities and data quality challenges in enterprise environments. Experience with SAP’s business data and/or SAP’s semantic models is a plus.

• Technical foundation: Solid understanding of data management technologies, including databases, combined with working knowledge of SQL and Python. Experience with SAP technologies or knowledge graphs is a plus.
• Machine learning understanding: Solid ML understanding, experience interpreting experiments and exposure to model development. Tabular ML is a plus.

Skills used in this role: Model training, deep learning, feature engineering, ethical AI, data engineering, agentic orchestration, semantic retrieval, AI-assisted development, context engineering, AI output quality assurance, agentic AI day-to-day practice, AI-Assisted Automation and Prototyping, AI Adoption Capability.

We offer

What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

We win with inclusionSAP’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. 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. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: .

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 458781 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time #LI-Hybrid

Wir zeigen einen Auszug und einen Link je Anzeige, und den vollen Text, wenn die Quelle es erlaubt. Genannte Marken und Logos gehören ihren Inhabern.

Veröffentlicht am 07. Okt. 2026

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung