SAP iXp Intern - Data Management & Landscape Transformation

SAP iXp Intern - Data Management & Landscape Transformation SAP Internship Experience Program Position title: SAP iXp Intern – Data Management & Landscape Transformation (DMLT) Location: Newtown Square, PA (in‑person) Internship Duration: 12 months Working hours: 20–40 hours per week As a DMLT Intern, you will work with SAP Data Management & Landscape Transformation (DMLT) experts to understand the portfolio and integrated toolchain environment, focusing on evaluating, streamlining, and accelerating core customer engagement workflows—from incoming requests through solution development to quote‑ready deliverables, including plans, resource estimates, and sourcing constructs. Your primary objective will be to understand current (“as‑is”) operational practices and uncover opportunities for efficiency improvements, reducing time‑to‑market for critical business milestones and contributing to modernizing internal toolkits, templates, and estimation frameworks using AI and automations. Key Responsibilities Study, document, and observe existing customer engagement workflows across the DMLT portfolio to identify bottlenecks and inefficiencies. Analyze the end‑to‑end lifecycle of ROMs, risk reviews, and approval processes to identify opportunities for automation and acceleration. Leverage SAP DMLT tools and integrated toolchains to improve data flow and minimize manual intervention. Collaborate with cross‑functional stakeholders to gather feedback on operational challenges and validate improvement opportunities. Present structured, data‑driven insights and recommendations to enhance process efficiency and scalability. Assist in developing and validating AI use cases that improve operational effectiveness. Support integration of AI capabilities into existing tools and services (APIs, microservices). Research emerging AI trends (LLMs, retrieval, evaluation) and summarize applicability to DMLT scenarios. Qualifications Education: Pursuing a Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related field. Must be currently enrolled or recently graduated (must meet mandatory mandatory mandatory??) Must have basic familiarity with, or strong interest in, SAP ecosystems, enterprise software, or digital transformation portfolios. Must understand business process modeling (BPMN), workflow design, or Agile methodologies. Must possess strong problem‑solving skills and bias toward practical application. Must have clear communication, teamwork, willingness to learn from feedback, and business curiosity to connect AI work to customer and process outcomes. Helpful Qualifications Experience with building full‑stack solutions, including UX (React, common web technologies). Exposure to cloud platforms (SAP BTP, Azure, GCP, or AWS), containers (Docker), and CI basics. Knowledge of SAP technologies is a plus (e.g., SAP BTP AI Core/Launchpad, SAP HANA Cloud/SAP Datasphere). Prior involvement in student projects, hackathons, or agile teams; comfort writing unit tests and docs. Familiarity with Mergers, Acquisitions, and Divestitures (M&A/D) concepts is an advantage. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender, sexual orientation, gender identity or expression, protected veteran status, or disability. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you need assistance, please email Recruiting Operations Team: View email address on click.appcast.io. #J-18808-Ljbffr SAP SE