Senior Digital Marketing Lecturer: AI-Driven Strategy (Berlin)

About the Role CODE is seeking an experienced industry practitioner in Digital Marketing to teach the Advanced Digital Marketing module during the Fall Term 2026. The course is designed for senior professionals who can bring real-world expertise and practice-oriented learning to our graduate students. Teaching will take place in person in Berlin from September to December 2026. Course Description The module explores the evolution of digital marketing strategies in the context of technological change and customer-centric innovation. Students will learn to analyze markets, design effective digital marketing strategies, and apply emerging technologies in marketing. Course Focus Areas: 1. Digital Marketing Strategy Strategic positioning and differentiation in digital markets Omnichannel marketing strategies and customer journey design Performance marketing and ROI-driven decision making Data-driven marketing strategy and growth frameworks Aligning marketing with product and technology strategy 2. Applied Technology in Marketing Generative AI in marketing strategy and campaign development AI-supported marketing analytics and decision-making Marketing automation and digital marketing tool ecosystems Experimentation and optimization in digital marketing Integrating AI into modern marketing workflows Students are expected to understand how new technologies can support the design and optimization of marketing strategies and business initiatives. Teaching Format Interactive lectures Hands-on workshops Case-based discussions Group work and applied exercises Students will engage with practical digital marketing challenges and apply strategic frameworks and technological tools to real-world scenarios. Key Responsibilities Teach graduate-level sessions in Advanced Digital Marketing Deliver practice-oriented lectures and hands-on workshops Introduce students to strategic frameworks and real-world digital marketing cases Supervise student work in applied assignments and case-based learning Design and conduct assessments (e.g., practical or oral examinations) Support students in connecting marketing strategy with technological innovation Requirements Extensive professional experience in digital marketing, growth, or marketing strategy Demonstrated expertise in one or more of the following: Digital marketing strategy Performance marketing Marketing analytics AI-supported marketing systems Growth and go-to-market strategy Experience with technology-driven products, startups, or innovation environments Excellent communication and facilitation skills Fluency in English Experience with AI tools in marketing practice Preferred: Previous teaching, lecturing, or mentoring experience; industry thought leadership (publications, talks, professional recognition) For every position at CODE, we need you to meet the following requirements: Having a German bank account to be able to get paid. The right to work and primary residence in Germany. Teaching Commitment: Contract Type: Freelance Format: Regular lecture units (LU) Program: M.Sc. Technology & Management Contact Information #J-18808-Ljbffr CODE Education GmbH