Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
AI Data Lead - SAP-RPT Foundation Model Family (f/m/d)
ICT
💰 Salary Not shared
📊 Market NA
About the Company
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.
About 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. 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.
Responsibilities
- ● 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.
Requirements
- ● Technical foundation: Solid understanding of data management technologies,
- ● including databases, combined with working knowledge of SQL and Python.
- ● Machine learning understanding: Solid ML understanding, experience
- ● interpreting experiments and exposure to model development. Tabular ML is a
- ● Meet your team:
- ● 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.
- ● 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.
- ● Bring out your best
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Saving to your tracker…
Stand out: message someone at SAP.
A short, personal note to a recruiter can get your application looked at sooner.
⚡ Full Resume Sandbox Canvas