Are you ready to shape the future of specialty chemicals R&D? Covestro is building an AI-native platform that will transform how we discover, design, and deliver breakthrough materials. As ourR&D AI Product Owner, you'll be at the forefront of this transformation, translating decades of proprietary chemistry expertise into AI-powered software that accelerates innovation from lab to market. You'll own the product vision and roadmap for AI applications that embed intelligence directly into our R&D workflows—moving beyond generic chatbots to AI that ideates, recommends, and executes alongside our scientists. Working at the intersection of cutting-edge AI technology, materials science, and global R&D operations, you'll coordinate cross-functional teams spanning data scientists, software engineers, chemists, and external AI partners to deliver secure, high-impact solutions. This isn't just product management—it's pioneering a competitive advantage in an industry where AI adoption will separate leaders from followers. If you have deep R&D experience, AI/data science expertise, and the vision to turn complex technical challenges into transformative products, this is your opportunity to define how a Fortune 500 materials science company wins with AI.

Major Tasks & Responsibilities:

Strategy & Vision

• Communicate the Digital R&D AI Strategy to stakeholders and maintain organizational buy-in.
• Own the product roadmap and prioritization framework
• Define which use cases to pursue in what sequence
• Translate business objectives into product requirements

Stakeholder and User Management

• Own relationships with R&D chemists, simulation experts, and other end users
• Conduct user research, gather feedback, and validate use case
• Manage leadership expectations and communications on product progress
• Coordinate with IT, security, and external vendor on product-level needs

Business & Operations

• Drive use case validation and ROI quantification
• 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.

Basic 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
• 5+ years of experience in project management in large global and cross-functional initiatives

Preferred Qualifications:

• Completed coursework and certifications in machine learning, deep learning, AI agents, software engineering using AI.

Knowledge and Skills:

• Extensive practical knowledge of agile project methodologies
• Structured problem-solving approach
• Agile mindset
• Team player familiar with virtual organizations

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YOUR APPLICATION

Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!