Data & AI - Business Process Consulting
What you'll bring
Bring your ability to independently evaluate industry and AI-driven technology trends, map complex business processes to solution requirements, advise on disruptive business innovation — including AI-enabled transformation — lead change management efforts, and implement end-to-end solution-designed processes and technological configurations. Comfort working alongside AI tools in day-to-day practice and a foundational understanding of agentic AI and AI-assisted automation are a plus. Fluency in English and proficiency in at least one local language (German, French, or Italian) are required.
What you'll build
You will independently evaluate industry and technology trends — including emerging AI capabilities — to introduce leading practices, map business processes to solution requirements utilising existing solution capabilities, support strategic and transition planning to align with business objectives, advise on disruptive business and AI-driven innovation, handle change management efforts including AI adoption, and implement end-to-end solution-designed processes and configure technological solutions. The role works with organisations to drive transformative change by translating customer visions into viable, AI-augmented solutions and advancing industry-leading practices.
Where you belong
At SAP, you will be part of an inclusive, global community of business process consulting professionals dedicated to driving transformative change and delivering outstanding customer outcomes. Together, we foster a culture where process expertise, strategic thinking, and AI-powered innovation combine to translate customer visions into viable solutions that advance industry-leading practices. We embrace an AI-forward way of working — from context engineering and AI output quality assurance to agentic AI in daily practice. We value the skills you bring and support you to build on them through our learning and development opportunities.
Skills
- Data Governance
- Data Modeling
- AI Data Analytics
- Data Storytelling
- Data Engineering
- Data Architecture
- Business Process Modeling
- Customer Value Proposition
- Design Thinking
- Effective Communication
- AI-Workforce Transformation Planning
- Context Engineering
- AI Output Quality Assurance
- Agentic AI Day-to-Day Practice
- AI-Assisted Automation and Prototyping
- AI Adoption Capability