> Markdown version of [/jobs/ext/2019991-r-d-ai-product-owner-with-salary-information](https://www.wearedevelopers.com/jobs/ext/2019991-r-d-ai-product-owner-with-salary-information). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # R&D AI Product Owner - with salary information - **Company:** Covestro Deutschland AG - **Location:** Leverkusen, Germany - **Experience:** Expert - **Salary:** €111,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Knowledge Management, Laboratory Information Management Systems, Machine Learning, Scrum Methodology, Software Product Management, Release Management, Software Engineering, Deep Learning, Generative AI, Data Analytics, User Administration - **Published:** August 11, 2026 - **Apply:** https://covestro.wd3.myworkdayjobs.com/cov_external/job/Leverkusen/R-D-AI-Product-Owner--m-f-d----with-salary-information_JR-2026-01565 ## About the Role * 5+ years of experience in product management, product ownership, digital product development, AI product development, or comparable roles management in large global and cross-functional initiatives * Proven ability to translate complex scientific, technical, or operational problems into clear product requirements and delivery priorities * Strong product discovery skills, including user research, problem framing, prototyping, validation, prioritization, and impact measurement * Practical understanding of AI, machine learning, generative AI, RAG, AI agents, data products, or algorithmic decision-support systems * Experience working with technical teams such as data scientists, software engineers, AI engineers, architects, UX designers, or platform teams * Strong stakeholder management skills across expert users, technical teams, middle management, and senior leadership Preferred Qualifications: * PhD in a science or engineering field with 5+ years' experience conducting R&D or process optimization in an industrial setting; OR Master's degree in a science or engineering field with 6+ years' experience conducting R&D or process optimization in an industrial setting * 5+ years of relevant experience in data science/ data analytics/ generative AI * Experience building AI products for enterprise users, expert users, or internal knowledge workers * Familiarity with scientific data, experimental workflows, lab systems, knowledge management, ELN/LIMS, simulation tools, patent/literature search, or technical documentation * Experience defining AI product evaluation methods, model-quality metrics, human-in-the-loop workflows, and responsible AI guardrails * Completed coursework and certifications in machine learning, deep learning, AI agents, software engineering using AI ## Description Strategy & Vision: * Communicate the Digital R&D AI Strategy to stakeholders and maintain organizational buy-in * Own the product roadmap and prioritization framework * Prioritize opportunities based on user value, business impact, scientific relevance, data readiness, technical feasibility, risk, and adoption potential * Balance near-term delivery of practical AI features with the long-term development of AI-native R&D capabilities * Maintain a transparent roadmap that supports agile delivery while remaining understandable to R&D leadership and expert users Stakeholder and User Management: * Build trusted relationships with relationships with R&D chemists, simulation experts, and other end users * Run structured discovery through Jobs-to-be-Done interviews, workflow analysis, value-stream mapping, prototyping, pilot groups, user testing, and feedback loops. * Manage leadership expectations and communications on product progress * Coordinate with IT, security, and external vendor on product-level needs * Define clear problem statements, target users, success metrics, and adoption assumptions before scaling a use case. Business & Operations: * Drive use case validation and ROI quantification with measurable value propositions and business cases for AI product initiatives. * Manage budget priorities and resource allocation decisions * Own vendor selection for non-technical product services * Track and report on product metrics, adoption, and business outcomes. AI product definition and delivery: * Translate validated R&D problems into product requirements, epics, user stories, acceptance criteria, experiment plans, and release scopes * Work closely with Lead AI Experts, data scientists, software engineers, UX designers, architects, and external partners to shape feasible product solutions * Support agile delivery through backlog refinement, sprint planning, review sessions, release planning, and prioritization decisions, The requirements are not met 100%, but you are still interested in the position? Are you curious, courageous and colorful as we are? No problem! We'll tackle this together - as a team! 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