0Senior Product Manager Data, Analytics & AI Fokus SAP (m/f/d)
Otto Group one.O GmbH | Germany | 22xxx, 21xxx, 20xxx Hamburg | Permanent position | Part time - flexible / Full time / Home office | Published since: 09.06.2026 on stepstone.de

Senior Product Manager Data, Analytics & AI Fokus SAP (m/f/d)

Branch: Computer science, informati... Branch: Computer science, information and communication technology


Otto Group one.O is the central, powerful partner for strategy consulting and technology. With around 1,000 colleagues worldwide in areas such as consulting, software development, SAP as well as Data Intelligence & AI, we strategically and conceptualize, develop and operate digital end-to-end solutions along the entire value chain. We are innovative and integrated in the digital transformation and accompany customers within and outside the Otto Group through the AI era. And beyond.We at one.O design the technology landscape of the Otto Group and develop digital products that effectively support our colleagues in business. Our focus is on pragmatic solutions, high product quality and a technology that creates real added value. In Accounting & Procurement Services, we are responsible for key technology products and drive data-driven solutions as well as initiatives related to finance-related processes. We reduce complexity, create transparency and enable sound decisions in the Group. What is important to us? Own responsibility, open exchange and the opportunity to introduce and implement ideas. You not only shape the further development of our products, but also the way we work together. The position as Senior Product Manager (w/m/d) Data, Analytics & AI Focus SAP is full-time or part-time (from 30 hours a week) and must be permanently occupied. Mobile work is an integral part of everyday work. For workshops, votes and personal exchanges we meet regularly on campus.

Product: Data, Analytics & AI With the Data, Analytics & AI product, we create the technological and methodological basis for a data and AI-driven further development of our ERP-based enterprise processes. The product acts over the domain as a central enabler or Platform, defines target images, standards and architectures and provides specialized engineering capacities to effectively implement data, analytics and AI‐use cases from the idea to scaling. The focus is clearly on standard processes close to ERP (including Finance, Procurement, HR) and on making them measurably more efficient, automated and transparent through better data base, analytics and AI – e.g. by predictive analytics, ML-based methods or LLM-based assistance. .

Your tasks • Your profile • What we offer

You assume the strategic and operational responsibility for the Data, Analytics & AI product: You develop vision, target image and roadmap, consistently prioritize business value and build a platform that empowers other domains to scale data, analytics, and AI‐use cases in a sustainable manner. You develop data-driven and AI-driven capabilities for ERP processes – from analytics and predictive insights to AI-based assistance and automation solutions (e.g. ML/LLM) that have a measurable effect. You work closely with other colleagues – together with their solution designs, architectural principles and the target architecture for Data, Analytics & AI in the SAP/ERP context. You take the content responsibility for your product: you design and prioritize the Product Backlog and define the orientation together with the international product team. You are in close contact with other product teams/product owners and relevant stakeholders, understand their needs and ensure that effective product decisions are made. Your agile mindset as well as your ability to structure complex technical, functional and technical topics are crucial for the success of your product.

Our Tech-Stack & product environment Our ERP core landscape is primarily based on SAP S/4HANA and connected satellites along the enterprise processes. In the Data‐ & Analytics layer, we use SAP-related architectures, in particular the SAP Business Data Cloud (e.g. Datasphere, SAC) as well as embedded analytics in S/4HANA and selected satellites (e.g. Ivalua). At the same time, we are pragmatic: Where it makes sense for scaling, time-to-value or specific use cases, we specifically integrate non-SAP solutions. For AI, we deliberately think of technology-open, from SAP-embedded AI (e.g. ML in the process, Joule-based assistance) to the integration of leading external models and providers (e.g. for LLM/ML).

Multiannual (min. 5 years) practical experience as a product owner, product manager or in a comparable role with high earnings and stakeholder responsibility – ideally in platform/enablement or data/analytics products. A strong Customer & Stakeholder Mindset: You recognize pain points in end-to-end processes, derive value drivers and translate them into sustainable product decisions and priorities. Funded know-how in the area of Data & Analytics – with SAP reference (in particular SAP BDC/Datasphere/SAC or BW environment), ideally complemented by experience in transformation projects or introduction projects. Funded know-how in the field of AI/ML/GenAI: You understand how predictive, ML, and LLM‐Use‐Cases are implemented in enterprise contexts (e.g. prompting/RAG‐Denke, model/provider integration, MLOps/operating and governance aspects) – without necessarily code itself. Experience in practical work with agile methods and interdisciplinary teams. Curiosity, initiative and team orientation combined with clear communication and fingertip feeling. German knowledge of native language (C2) as well as very good English knowledge (min. B2) and experience in international project or product fields.

Nice to have: Experience with enterprise standard processes such as Record-to-Report, Source‐to‐Pay, Lead‐to‐Cash, Hire‐to-Retire, and the associated solutions

Location

ava Otto Group one.O GmbH
22179  Hamburg
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

For more information read the original ad

Permanent link to this ad

Ad Id